Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2019Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network
Bosse, S.; Becker, S.; Müller, K.-R.; Samek, W.; Wiegand, T.
Journal Article
2019Explaining the unique nature of individual gait patterns with deep learning
Horst, F.; Lapuschkin, S.; Samek, W.; Müller, K.-R.; Schöllhorn, W.I.
Journal Article
2019Unmasking Clever Hans predictors and assessing what machines really learn
Lapuschkin, S.; Wäldchen, S.; Binder, A.; Montavon, G.; Samek, W.; Müller, K.-R.
Journal Article
2018Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition
Bosse, S.; Acqualagna, L.; Samek, W.; Porbadnigk, A.K.; Curio, G.; Blankertz, B.; Müller, K.-R.; Wiegand, T.
Journal Article
2018Methods for interpreting and understanding deep neural networks
Montavon, G.; Samek, W.; Müller, K.-R.
Journal Article
2018Understanding and Comparing Deep Neural Networks for Age and Gender Classification
Samek, W.; Binder, A.; Lapuschkin, S.; Müller, K.-R.
Conference Paper
2018Wasserstein stationary subspace analysis
Kaltenstadler, S.; Nakajima, S.; Müller, K.-R.; Samek, W.
Journal Article
2017"What is relevant in a text document?": An interpretable machine learning approach
Arras, L.; Horn, F.; Montavon, G.; Müller, K.-R.; Samek, W.
Journal Article
2017Explaining nonlinear classification decisions with deep Taylor decomposition
Montavon, G.; Lapuschkin, S.; Binder, A.; Samek, W.; Müller, K.-R.
Journal Article
2017Interpretable human action recognition in compressed domain
Srinivasan, V.; Lapuschkin, S.; Hellge, C.; Müller, K.-R.; Samek, W.
Conference Paper
2017Object boundary detection and classification with image-level labels
Koh, J.Y.; Samek, W.; Müller, K.-R.; Binder, A.
Conference Paper
2017Objective quality assessment of stereoscopic images with vertical disparity using EEG
Avarvand, F.S.; Bosse, S.; Müller, K.-R.; Schäfer, R.; Nolte, G.; Wiegand, T.; Curio, G.; Samek, W.
Journal Article
2017On robust parameter estimation in brain–computer interfacing
Samek, W.; Nakajima, S.; Kawanabe, M.; Müller, K.-R.
Journal Article
2017Reinforcement learning for video encoder control in HEVC
Helle, P.; Schwarz, H.; Wiegand, T.; Müller, K.-R.
Conference Paper
2016Alternative CSP approaches for multimodal distributed BCI data
Brandl, S.; Müller, K.-R.; Samek, W.
Conference Paper
2016Block adaptive selection of multiple core transforms for video coding
De-Luxan-Hernandez, S.; Marpe, D.; Schwarz, H.; Müller, K.-R.; Wien, M.; Ohm, J.-R.; Wiegand, T.
Conference Paper
2016Brain-computer interfacing for multimedia quality assessment
Bosse, S.; Müller, K.-R.; Wiegand, T.; Samek, W.
Conference Paper
2016Brain–computer interfacing under distraction
Brandl, S.; Frölich, L.; Höhne, J.; Müller, K.-R.; Samek, W.
Journal Article
2016Controlling explanatory heatmap resolution and semantics via decomposition depth
Bach, S.; Binder, A.; Müller, K.-R.; Samek, W.
Conference Paper
2016Identifying individual facial expressions by deconstructing a neural network
Arbabzadah, F.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Interpretable deep neural networks for single-trial EEG classification
Sturm, I.; Lapuschkin, S.; Samek, W.; Müller, K.-R.
Journal Article
2016Layer-wise relevance propagation for deep neural network architectures
Binder, A.; Bach, S.; Montavon, G.; Müller, K.-R.; Samek, W.
Conference Paper
2016Layer-wise relevance propagation for neural networks with local renormalization layers
Binder, A.; Montavon, G.; Lapuschkin, S.; Müller, K.-R.; Samek, W.
Conference Paper
2016The LRP toolbox for artificial neural networks
Lapuschkin, S.; Binder, A.; Montavon, G.; Müller, K.-R.; Samek, W.
Journal Article
2016Multiscale temporal neural dynamics predict performance in a complex sensorimotor task
Samek, W.; Blythe, D.A.J.; Curio, G.; Müller, K.-R.; Blankertz, B.; Nikulin, V.V.
Journal Article
2016Neural network-based full-reference image quality assessment
Bosse, S.; Maniry, D.; Müller, K.-R.; Wiegand, T.; Samek, W.
Conference Paper
2015Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment
Brandl, S.; Höhne, J.; Müller, K.-R.; Samek, W.
Conference Paper
2015Investigating effects of different artefact types on motor imagery BCI
Frølich, L.; Winkler, I.; Müller, K.-R.; Samek, W.
Conference Paper
2015A kernel-based statistical analysis of the residual error in video coding
De-Luxan-Hernandez, S.; Marpe, D.; Müller, K.-R.; Wiegand, T.
Conference Paper
2015Learning from more than one data source: Data fusion techniques for sensorimotor rhythm-based brain-computer interfaces
Fazli, S.; Dähne, S.; Samek, W.; Bießmann, F.; Müller, K.-R.
Journal Article
2015Machine learning methods of the Berlin brain-computer interface
Vidaurre, C.; Sannelli, C.; Samek, W.; Dähne, S.; Müller, K.-R.
Journal Article, Conference Paper
2015Multivariate machine learning methods for fusing multimodal functional neuroimaging data
Dähne, S.; Bießmann, F.; Samek, W.; Haufe, S.; Goltz, D.; Gundlach, C.; Villringer, A.; Fazli, S.; Müller, K.-R.
Journal Article
2015Neurophysiological assessment of perceived image quality using steady-state visual evoked potentials
Bosse, S.; Acqualagna, L.; Porbadnigk, A.K.; Curio, G.; Müller, K.-R.; Blankertz, B.; Wiegand, T.
Conference Paper
2015Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence
Brandl, S.; Müller, K.-R.; Samek, W.
Conference Paper
2015Tackling noise, artifacts and nonstationarity in BCI with robust divergences
Samek, W.; Müller, K.-R.
Conference Paper
2014Machine learning for visual concept recognition and ranking for images
Binder, A.; Samek, W.; Müller, K.-R.; Kawanabe, M.
Book Article
2014Neurally informed assessment of perceived natural texture image quality
Bosse, S.; Acqualagna, L.; Porbadnigk, A.K.; Blankertz, B.; Curio, G.; Müller, K.-R.; Wiegand, T.
Conference Paper
2012Enhanced performance by a hybrid NIRS-EEG brain computer interface
Fazli, S.; Mehnert, J.; Steinbrink, J.; Curio, G.; Villringer, A.; Müller, K.-R.; Blankertz, B.
Journal Article
2012On taxonomies for multi-class image categorization
Binder, A.; Müller, K.-R.; Kawanabe, M.
Journal Article
2012Pitfalls in EEG-based brain effective connectivity analysis
Haufe, S.; Nikulin, V.V.; Nolte, G.; Müller, K.-R.
Conference Paper
2012Psychological predictors of SMR-BCI performance
Hammer, E.M.; Halder, S.; Blankertz, B.; Sannelli, C.; Dickhaus, T.; Kleih, S.; Müller, K.-R.; Kübler, A.
Journal Article
2012Stationary common spatial patterns for brain-computer interfacing
Samek, W.; Vidaurre, C.; Müller, K.-R.; Kawanabe, M.
Journal Article
2012Support vector machines
Rieck, K.; Sonnenburg, S.; Mika, S.; Schäfer, C.; Laskov, P.; Tax, D.; Müller, K.-R.
Book Article
2012Toward a direct measure of video quality perception using EEG
Scholler, S.; Bosse, S.; Treder, M.S.; Blankertz, B.; Curio, G.; Müller, K.-R.; Wiegand, T.
Journal Article
2011Co-adaptive calibration to improve BCI efficiency
Vidaurre, C.; Sannelli, C.; Müller, K.-R.; Blankertz, B.
Journal Article
2011CSP patches: An ensemble of optimized spatial filters. An evaluation study
Sannelli, C.; Vidaurre, C.; Müller, K.-R.; Blankertz, B.
Journal Article
2011Introduction to machine learning for brain imaging
Lemm, S.; Blankertz, B.; Dickhaus, T.; Müller, K.-R.
Journal Article
2011The joint submission of the TU Berlin and Fraunhofer FIRST (TUBFI) to the image CLEF 2011 photo annotation task
Binder, A.; Samek, W.; Kloft, M.; Müller, C.; Müller, K.-R.; Kawanabe, M.
Conference Paper
2011Large-scale EEG/MEG source localization with spatial flexibility
Haufe, S.; Tomioka, R.; Dickhaus, T.; Sannelli, C.; Blankertz, B.; Nolte, G.; Müller, K.-R.
Journal Article
2011Machine-learning-based coadaptive calibration for Brain-computer interfaces
Vidaurre, C.; Sannelli, C.; Müller, K.-R.; Blankertz, B.
Journal Article
2011Single-trial analysis and classification of ERP components - A tutorial
Blankertz, B.; Lemm, S.; Treder, M.; Haufe, S.; Müller, K.-R.
Journal Article
2011Uniqueness of non-gaussianity-based dimension reduction
Theis, F.J.; Kawanabe, M.; Müller, K.-R.
Journal Article
2010Approximate tree kernels
Rieck, K.; Krueger, T.; Brefeld, U.; Müller, K.-R.
Journal Article
2010The Berlin brain-computer interface: Non-medical uses of BCI technology
Blankertz, B.; Tangermann, M.; Vidaurre, C.; Fazli, S.; Sannelli, C.; Haufe, S.; Maeder, C.; Ramsey, L.; Sturm, I.; Curio, G.; Müller, K.-R.
Journal Article
2010Common spatial pattern patches - An optimized filter ensemble for adaptive Brain-Computer Interfaces
Sannelli, C.; Vidaurre, C.; Müller, K.-R.; Blankertz, B.
Conference Paper
2010Detecting mental states by machine learning techniques: The Berlin Brain-computer interface
Blankertz, B.; Tangermann, M.; Vidaurre, C.; Dickhaus, T.; Sannelli, C.; Popescu, F.; Fazli, S.; Danóczy, M.; Curio, G.; Müller, K.-R.
Book Article
2010How to explain individual classification decisions
Baehrens, D.; Schroeter, T.; Harmeling, S.; Kawanabe, M.; Hansen, K.; Müller, K.-R.
Journal Article
2010Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessions
Haufe, S.; Tomioka, R.; Dickhaus, T.; Sannelli, C.; Blankertz, B.; Nolte, G.; Müller, K.-R.
Conference Paper
2010Localizing and estimating causal relations of interacting brain rhythms
Nolte, G.; Müller, K.-R.
Journal Article
2010Machine-learning based co-adaptive calibration: A perspective to fight BCI illiteracy
Vidaurre, C.; Sannelli, C.; Müller, K.-R.; Blankertz, B.
Conference Paper
2010Modeling sparse connectivity between underlying brain sources for EEG/MEG
Haufe, S.; Tomioka, R.; Nolte, G.; Müller, K.-R.; Kawanabe, M.
Journal Article
2010Neurophysiological predictor of SMR-based BCI performance
Blankertz, B.; Sannelli, C.; Haider, S.; Hammer, E.M.; Kübler, A.; Müller, K.-R.; Curio, G.; Dickhaus, T.
Journal Article
2010On optimal channel configurations for SMR-based brain-computer interfaces
Sannelli, C.; Dickhaus, T.; Halder, S.; Hammer, E.-M.; Müller, K.-R.; Blankertz, B.
Journal Article
2010Pyff - A pythonic framework for feedback applications and stimulus presentation in neuroscience
Venthur, B.; Scholler, S.; Williamson, J.; Dähne, S.; Treder, M.S.; Kramarek, M.T.; Müller, K.-R.; Blankertz, B.
Journal Article
2009Estimating vector fields using sparse basis field expansions
Haufe, S.; Nikulin, V.V.; Ziehe, A.; Müller, K.-R.; Nolte, G.
Conference Paper
2009A generalized framework for quantifying the dynamics of EEG event-related desynchronization
Lemm, S.; Müller, K.-R.; Curio, G.
Journal Article
2009Invariant common spatial patterns: Alleviating nonstationarities in Brain-Computer Interfacing
Blankertz, B.; Kawanabe, M.; Tomioka, R.; Hohlefeld, F.U.; Nikulin, V.; Müller, K.-R.
Conference Paper
2009Learning invariances with stationary subspace analysis
Meinecke, F.C.; Bünau, P. von; Kawanabe, M.; Müller, K.-R.
Conference Paper
2009A maxmin approach to optimize spatial filters for EEG single-trial classification
Kawanabe, M.; Vidaurre, C.; Blankertz, B.; Müller, K.-R.
Conference Paper
2009Securing IMS against novel threats
Wahl, S.; Rieck, K.; Laskov, P.; Domschitz, P.; Müller, K.-R.
Journal Article
2009Subject-independent mental state classification in single trials
Fazli, S.; Popescu, F.; Danoczy, M.; Blankertz, B.; Müller, K.-R.; Grozea, C.
Journal Article
2009Using rest class and control paradigms for brain computer interfacing
Fazli, S.; Danoczy, M.; Popescu, F.; Blankertz, B.; Müller, K.-R.
Conference Paper
2008The (B)erlin (B)rain-(C)omputer (I)interface
Blankertz, B.; Tangermann, M.; Popescu, F.; Krauledat, M.; Fazli, S.; Dónaczy, M.; Curio, G.; Müller, K.-R.
Conference Paper
2008Approximating the best linear unbiased estimator of non-Gaussian signals with Gaussian noise
Sugiyama, M.; Kawanabe, M.; Blanchard, G.; Müller, K.-R.
Journal Article
2008The Berlin brain-computer interface
Blankertz, B; Losch, F.; Krauledat, M.; Dornhege, G.; Curio, G.; Müller, K.-R.
Journal Article
2008Brain-computer interfacing for intelligent systems
Nijholt, A.; Tan, D.; Pfurtscheller, G.; Brunner, C.; Millan, J.; Allison, B.; Grainmann, B.; Popescu, F.; Blankertz, B.; Müller, K.-R.
Journal Article
2008Combining sparsity and rotational invariance in EEG/MEG source reconstruction
Haufe, S.; Nikulin, V.V.; Ziehe, A.; Müller, K.-R.; Nolte, G.
Journal Article
2008Estimating noise and dimensionality in BCI data sets: Towards BCI illiteracy comprehension
Sannelli, C.; Braun, M.; Tangermann, M.; Müller, K.-R.
Conference Paper
2008Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing
Blankertz, B.; Kawanabe, M.; Tomioka, R.; Hohlefeld, F.; Nikulin, V.; Müller, K.-R.
Book Article
2008Machine learning for real-time single-trial EEG-analysis: From brain-computer interfacing to mental state monitoring
Müller, K.-R.; Tangermann, M.; Dornhege, G.; Krauledat, M.; Curio, G.; Blankertz, B.
Journal Article
2008On relevant dimensions in kernel feature spaces
Braun, M.L.; Buhmann, J.M.; Müller, K.-R.
Journal Article
2008Optimizing spatial filters for robust EEG single-trial analysis
Blankertz, B.; Tomioka, R.; Lemm, S.; Kawanabe, M.; Müller, K.-R.
Journal Article
2008A probabilistic approach to classifying metabolic stability
Schwaighofer, A.; Schröter, T.; Mika, S.; Hansen, K.; Laak, A. ter; Lienau, P.; Reichel, A.; Heinrich, N.; Müller, K.-R.
Journal Article
2008Robustly estimating the flow direction of information in complex physical systems
Nolte, G.; Ziehe, A.; Nikulin, V.V.; Schlögl, A.; Krämer, N.; Brismar, T.; Müller, K.-R.
Journal Article
2008A self-learning system for detection of anomalous SIP messages
Rieck, K.; Wahl, S.; Laskov, P.; Domschitz, P.; Müller, K.-R.
Conference Paper
2008Stopping conditions for exact computation of leave-one-out error in support vector machines
Franc, V.; Laskov, P.; Müller, K.-R.
Conference Paper
2008Towards zero training for brain-computer interfacing
Krauledat, M.; Tangermann, M.; Blankertz, B.; Müller, K.-R.
Journal Article
2008Unsupervised adaptation of the LDA classifier for Brain-Computer Interfaces
Vidaurre, C.; Schlögl, A.; Blankertz, B.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2007Accurate solubility prediction with error bars for electrolytes: A machine learning approach
Schwaighofer, A.; Schroeter, T.; Mika, S.; Laub, J.; Laak, A. ter; Sülzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R.
Journal Article
2007Adaptation in CSP-based BCI systems
Krauledat, M.; Shenoy, P.; Blankertz, B.; Rao, R.P.N.; Müller, K.-R.
Book Article
2007Asymptotic Bayesian generalization error when training and test distributions are different
Yamazaki, K.; Kawanabe, M.; Watanabe, S.; Sugiyama, M.; Müller, K.-R.
Conference Paper
2007The Berlin Brain-Computer Interface (BBCI) - towards a new communication channel for online control in gaming applications
Krepki, R.; Blankertz, B.; Curio, G.; Müller, K.-R.
Conference Paper, Journal Article
2007Berlin brain-computer interface - The HCI communication channel for discovery
Krepki, R.; Curio, G.; Blankertz, B.; Müller, K.-R.
Journal Article
2007The Berlin brain-computer interface: Machine-learning based detection of user specific brain states
Blankertz, B.; Dornhege, G.; Krauledat, M.; Kunzmann, V.; Losch, F.; Curio, G.; Müller, K.-R.
Book Article
2007Covariate shift adaptation by importance weighted cross validation
Sugiyama, M.; Krauledat, M.; Müller, K.-R.
Journal Article
2007Denoising and dimension reduction in feature space
Braun, M.L.; Buhmann, J.; Müller, K.-R.
Conference Paper
2007Estimating the domain of applicability for machine learning QSAR models: A study on aqueous solubility of drug discovery molecules
Schroeter, T.S.; Schwaighofer, A.; Mika, S.; Laak, A. ter; Suelzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R.
Journal Article
2007General signal processing and machine learning tools for BCI analysis
Dornhege, G.; Krauledat, M.; Müller, K.-R.; Blankertz, B.
Book Article
2007Heterogeneous component analysis
Oba, S.; Kawanabe, M.; Müller, K.-R.; Ishii, S.
Book Article
2007Improving human performance in a real operating environment through real-time mental workload detection
Kohlmorgen, J.; Dornhege, G.; Braun, M.; Blankertz, B.; Müller, K.-R.; Curio, G.; Hagemann, K.; Bruns, A.; Schrauf, M.; Kincses, W.E.
Book Article
2007Improving the Caenorhabditis elegans genome annotation using machine learning
Rätsch, G.; Sonnenburg, S.; Srinivasan, J.; Witte, H.; Müller, K.-R.; Sommer, R.-J.; Schölkopf, B.
Journal Article
2007Inducing metric violations in human similarity judgements
Laub, J.; MacKe, J.; Müller, K.-R.; Wichmann, F.A.
Conference Paper
2007An introduction to brain-computer interfacing
Kübler, A.; Müller, K.-R.
Book Article
2007Logistic regression for single trial EEG classification
Tomioka, R.; Aihara, K.; Müller, K.-R.
Conference Paper
2007Machine learning and applications for brain-computer interfacing
Müller, K.-R.; Krauledat, M.; Dornhege, G.; Curio, G.; Blankertz, B.
Conference Paper
2007Machine learning models for lipophilicity and their domain of applicability
Schroeter, T.; Schwaighofer, A.; Mika, S.; Laak, A. ter; Sülzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R.
Journal Article
2007A Method and Apparatus for automatic Comparison of Data Sequences
Rieck, K.; Laskov, P.; Mueller, K.-R.; Duessel, P.
Patent
2007The need for open source software in machine learning
Sonnenburg, S.; Braun, M.L.; Ong, C.S.; Bengio, S.; Bottou, L.; Holmes, G.; LeCun, Y.; Müller, K.-R.; Pereira, F.; Rasmussen, C.E.; Rätsch, G.; Schölkopf, B.; Smola, A.; Vincent, P.; Weston, J.; Williamson, R.C.
Journal Article
2007A new algorithm of non-Gaussian component analysis with radial kernel functions
Kawanabe, M.; Sugiyama, M.; Blanchard, G.; Müller, K.-R.
Journal Article
2007The non-invasive Berlin Brain-Computer Interface: Fast acquisition of effective performance in untrained subjects
Blankertz, B.; Dornhege, G.; Krauledat, M.; Müller, K.-R.; Curio, G.
Journal Article
2007A note on brain actuated spelling with the Berlin brain-computer interface
Blankertz, B.; Krauledat, M.; Dornhege, G.; Williamson, J.; Murray-Smith, R.; Müller, K.-R.
Conference Paper
2007Optimal dyadic decision trees
Blanchard, G.; Schäfer, C.; Rozenholc, Y.; Müller, K.-R.
Journal Article
2007Predicting error bars for QSAR models
Schroeter, T.; Schwaighofer, A.; Mika, S.; Ter Laak, A.; Suelzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R.
Conference Paper
2007Predicting lipophilicity of drug-discovery molecules using Gaussian process models
Schroeter, T.S.; Schwaighofer, A.; Mika, S.; Ter Laak, A.; Sülzle, D.; Ganzer, U.; Heinrich, N.; Müller, K.-R.
Journal Article
2007Reducing calibration time for brain-computer interfaces: A clustering approach
Krauledat, M.; Schröder, M.; Blankertz, B.; Müller, K.-R.
Conference Paper
2007Robustifying EEG data analysis by removing outliers
Krauledat, M.; Dornhege, G.; Blankertz, B.; Müller, K.-R.
Journal Article
2007Toward brain-computer interfacing
: Dornhege, G.; Millan, J.R. del; Hinterberger, T.; McFarland, D.; Müller, K.-R.
Book
2006The BCI competition III: Validating alternative approaches to actual BCI problems
Blankertz, B.; Müller, K.-R.; Krusienski, D.J.; Schalk, G.; Wolpaw, J.R.; Schlögl, A.; Pfurtscheller, G.; Millan, J.D.R.; Schröder, M.; Birbaumer, N.
Journal Article
2006BCI Meeting 2005 - Workshop on BCI signal processing: Feature extraction and translation
McFarland, D.J.; Anderson, C.W.; Müller, K.-R.; Schlögl, A.; Krusienski, D.J.
Journal Article
2006The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-Spell
Blankertz, B.; Dornhege, G.; Krauledat, M.; Schröder, M.; Williamson, J.; Murray-Smith, R.; Müller, K.-R.
Conference Paper
2006The Berlin brain-computer interface: EEG-based communication without subject training
Blankertz, B.; Dornhege, G.; Krauledat, M.; Müller, K.-R.; Kunzmann, V.; Losch, F.; Curio, G.
Journal Article
2006The Berlin brain-computer interface: Machine learning based detection of user specific brain states
Blankertz, B.; Dornhege, G.; Lemm, S.; Krauledat, M.; Curio, G.; Müller, K.-R.
Journal Article
2006Combined optimization of spatial and temporal filters for improving brain-computer interfacing
Dornhege, G.; Blankertz, B.; Krauledat, M.; Losch, F.; Curio, G.; Müller, K.-R.
Journal Article
2006Efficient algorithms for similarity measures over sequential data: A look beyond kernels
Rieck, K.; Laskov, P.; Müller, K.-R.
Conference Paper
2006Enhancing the signal-to-noise ratio of ICA-based extracted ERPs
Lemm, S.; Curio, G.; Hlushchuk, Y.; Müller, K.-R.
Journal Article
2006From outliers to prototypes: Ordering data
Harmeling, S.; Dornhege, G.; Tax, D.; Meinecke, F.; Müller, K.-R.
Conference Paper, Journal Article
2006Identifying interactions in mixed and noisy complex systems
Nolte, G.; Meinecke, F.C.; Ziehe, A.; Müller, K.-R.
Journal Article
2006Importance-weighted cross-validation for covariate shift
Sugiyama, M.; Blankertz, B.; Krauledat, M.; Dornhege, G.; Müller, K.-R.
Conference Paper
2006In search of non-Gaussian components of a high-dimensional distribution
Blanchard, G.; Kawanabe, M.; Sugiyama, M.; Spokoiny, V.; Müller, K.-R.
Journal Article
2006Incremental support vector learning: Analysis, implementation and applications
Laskov, P.; Gehl, C.; Krüger, S.; Müller, K.-R.
Journal Article
2006An iterative algorithm for spatio-temporal filter optimization
Tomioka, R.; Dornhege, G.; Aihara, K.; Müller, K.-R.
Conference Paper
2006A model selection method based on bound of learning coefficient
Yamazaki, K.; Nagata, K.; Watanabe, S.; Müller, K.-R.
Conference Paper
2006Non-Gaussian component analysis: A semi-parametric framework for linear dimension reduction
Blanchard, G.; Kawanabe, M.; Sugiyama, M.; Spokoiny, V.; Müller, K.-R.
Conference Paper
2006A novel dimension reduction procedure for searching non-Gaussian subspaces
Kawanabe, M.; Blanchard, G.; Sugiyama, M.; Spokoiny, V.; Müller, K.-R.
Conference Paper
2006Obtaining the best linear unbiased estimator of noisy signals by non-Gaussian component analysis
Sugiyama, M.; Kawanabe, M.; Blanchard, G.; Spokoiny, V.; Müller, K.-R.
Conference Paper
2006On the information and representation of non-Euclidean pairwise data
Laub, J.; Roth, V.; Buhmann, J.A.; Müller, K.-R.
Journal Article
2006Optimizing spatio-temporal filters for improving brain-computer interfacing
Dornhege, G.; Blankertz, B.; Krauledat, M.; Losch, F.; Curio, G.; Müller, K.-R.
Conference Paper
2006Optimizing spectral filters for single trial EEG classification
Tomioka, R.; Dornhege, G.; Nolte, G.; Aihara, K.; Müller, K.-R.
Conference Paper
2006Toward noninvasive brain-computer interfaces
Müller, K.-R.; Blankertz, B.
Journal Article
2006Towards adaptive classification for BCI
Shenoy, P.; Krauledat, M.; Blankertz, B.; Rao, R.P.N.; Müller, K.-R.
Journal Article
2005Analyzing coupled brain sources: Distinguishing true from spurious interaction
Nolte, G.; Ziehe, A.; Meinecke, F.; Müller, K.-R.
Conference Paper
2005The Berlin brain-computer interface
Blankertz, B.; Dornhege, G.; Krauledat, M.; Müller, K.-R.; Curio, G.
Report
2005Classifying 'drug-likeness' with kernel-based learning methods
Müller, K.-R.; Rätsch, G.; Sonnenburg, S.; Mika, S.; Grimm, M.; Heinrich, N.
Journal Article
2005Estimating functions for blind separation when sources have variance dependencies
Kawanabe, M.; Müller, K.-R.
Journal Article
2005Inlier-based ICA with an application to superimposed images
Meinecke, F.C.; Harmeling, S.; Müller, K.-R.
Journal Article
2005Measuring phase synchronization of superimposed signals
Meinecke, F.C.; Ziehe, A.; Kurths, J.; Müller, K.-R.
Journal Article
2005Model selection under covariate shift
Sugiyama, M.; Müller, K.-R.
Conference Paper
2005Spatio-spectral filters for improving the classification of single trial EEG
Lemm, S.; Blankertz, B.; Curio, G.; Müller, K.-R.
Journal Article
2005Visualization of anomaly detection using prediction sensitivity
Laskov, P.; Rieck, K.; Schäfer, C.; Müller, K.-R.
Conference Paper
2004Approximate Joint Diagonalization Using a Natural Gradient Approach
Yeredor, A.; Ziehe, A.; Müller, K.-R.
Conference Paper
2004The BCI competition 2003: Progress and perspectives in detection and discrimination of EEG single trials
Blankertz, B.; Müller, K.-R.; Curio, G.; Vaughan, T.M.; Schalk, G.; Wolpaw, J.R.; Schlögl, A.; Neuper, C.; Pfurtscheller, G.; Hinterberger, T.; Schröder, M.; Birbaumer, N.
Journal Article
2004The Berlin brain-computer interface for rapid response
Krauledat, M.; Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Conference Paper
2004Blind source separation techniques for decomposing event-related brain signals
Müller, K.-R.; Vigario, R.; Meinecke, F.; Ziehe, A.
Journal Article
2004Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigms
Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Report
2004A consistency-based model selection for one-class classification
Tax, D.M.J.; Müller, K.-R.
Conference Paper
2004Estimating functions for blind separation when sources have variance-dependencies
Kawanabe, M.; Müller, K.-R.
Conference Paper
2004A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation
Ziehe, A.; Laskov, P.; Nolte, G.; Müller, K.-R.
Journal Article
2004Feature discovery in non-metric pairwise data
Laub, J.; Müller, K.-R.
Journal Article
2004Improving speed and accuracy of brain-computer interfaces using readiness potential features
Krauledat, M.; Dornhege, G.; Blankertz, B.; Losch, F.; Curio, G.; Müller, K.-R.
Conference Paper
2004Increase information transfer rates in BCI by CSP extension to multi-class
Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Conference Paper
2004Machine learning techniques for Brain-Computer Interfaces
Müller, K.-R.; Krauledat, M.; Dornhege, G.; Curio, G.; Blankertz, B.
Journal Article
2004Regularizing generalization error estimators: A novel approach to robust model selection
Sugiyama, M.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2004Robust ICA for super-gaussian sources
Meinecke, F.C.; Harmeling, S.; Müller, K.-R.
Conference Paper
2003The Berlin Brain-Computer Interface (BBCI) - towards a new communication channel for online control of multimedia applications and computer games
Krepki, R.; Blankertz, B.; Curio, G.; Müller, K.-R.
Conference Paper
2003Blind separation of post-nonlinear mixtures using gaussianizing transformations and temporal decorrelation
Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.
Conference Paper
2003Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis
Blankertz, B.; Dornhege, G.; Schäfer, C.; Krepki, R.; Kohlmorgen, J.; Müller, K.-R.; Losch, F.; Kunzmann, V.; Curio, G.
Journal Article
2003Clustering with the fisher score
Tsuda, K.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2003Combining features for BCI
Dornhege, G.; Blankertz, B.; Curio, G.; Müller, K.-R.
Conference Paper
2003Constructing descriptive and discriminative nonlinear features - Rayleigh coefficients in kernel feature spaces
Mika, S.; Ratsch, G.; Weston, J.; Schölkopf, B.; Smola, A.; Müller, K.-R.
Journal Article
2003A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces
Sajda, P.; Gerson, A.; Müller, K.-R.; Blankertz, B.; Parra, L.
Journal Article
2003Feature extraction for one-class classification
Tax, D.M.J.; Müller, K.-R.
Conference Paper
2003Linear and nonlinear methods for brain-computer interfaces
Müller, K.-R.; Anderson, C.W.; Birch, G.E.
Journal Article
2003A linear least-squares algorithm for joint diagonalization
Ziehe, A.; Laskov, P.; Müller, K.-R.; Nolte, G.
Conference Paper
2003The subspace information criterion for infinite dimensional hypothesis spaces
Sugiyama, M.; Müller, K.-R.
Journal Article
2002Classifying single trial EEG: Towards brain computer interfacing
Blankertz, B.; Curio, G.; Müller, K.-R.
Conference Paper
2002Constructing boosting algorithms from SVMs
Ratsch, G.; Mika, S.; Schölkopf, B.; Müller, K.-R.
Journal Article
2002Estimating the reliability of ICA projections
Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2002A new discriminative kernel from probabilistic models
Tsuda, K.; Kawanabe, M.; Rätsch, G.; Sonnenburg, S.; Müller, K.-R.
Journal Article
2002New methods for splice site recognition
Sonnenburg, S.; Rätsch, G.; Jagota, A.K.; Müller, K.-R.
Conference Paper
2002On-line learning in changing environments with applications in supervised and unsupervised learning
Murata, N.; Kawanabe, M.; Ziehe, A.; Müller, K.-R.; Amari, S.
Journal Article
2002A resampling approach to estimate the stability of one-dimensional or multidimensional independent components
Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Journal Article
2002Selecting hyperparameters in infinite dimensional hypothesis spaces
Sugiyama, M.; Müller, K.-R.
Conference Paper
2002Selecting ridge parameters in infinite dimensional hypothesis spaces
Sugiyama, M.; Müller, K.-R.
Conference Paper
2001An arcing algorithm with an intuitive learning control parameter
Onoda, T.; Rätsch, G.; Müller, K.-R.
Journal Article
2001Assessing reliability of ICA projections - a resampling approach
Meinecke, F.; Ziehe, A.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2001A comparison of ICA-based artifact reduction methods for MEG
Ziehe, A.; Nolte, G.; Sander, T.; Müller, K.-R.; Curio, G.
Conference Paper
2001An Introduction to Kernel-Based Learning Algorithms
Müller, K.-R.; Mika, S.; Rätsch, G.; Tsuda, K.; Schoelkopf, B.
Journal Article
2001Learning to predict the leave-one-out error of kernel based classifiers
Tsuda, K.; Rätsch, G.; Mika, S.; Müller, K.-R.
Conference Paper
2001A mathematical programming approach to the Kernel Fisher algorithm
Mika, S.; Rätsch, G.; Müller, K.-R.
Conference Paper
2001Noise robust estimates of correlation dimension and K2 entropy
Nolte, G.; Ziehe, A.; Müller, K.-R.
Journal Article
2001Separation of post-nonlinear mixtures using ACE and temporal decorrelation
Ziehe, A.; Kawanabe, M.; Harmeling, S.; Müller, K.-R.
Conference Paper
2001Soft Margins for AdaBoost
Rätsch, G.; Onoda, T.; Müller, K.-R.
Journal Article
2000Advances in neural information processing systems. Vol.12
: Solla, S.A.; Leen, T.K.; Müller, K.-R.
Conference Proceedings
2000Analysis of nonstationary time series by mixtures of self-organizing predictors
Kohlmorgen, J.; Lemm, S.; Rätsch, G.; Müller, K.-R.
Conference Paper
2000Applying support vector machines and boosting to a non-intrusive monitoring system for household electric appliances with inverters
Onoda, T.; Rätsch, G.; Müller, K.-R.
Conference Paper
2000Artifact reduction in magnetoneurography based on time-delayed second-order correlations
Ziehe, A.; Müller, K.-R.; Nolte, G.; Mackert, B.-M.; Curio, G.
Journal Article
2000An asymptotic analysis and improvement od Ada-Boost in the binary classification case
Onoda, T.; Rätsch, G.; Müller, K.-R.
Journal Article
2000Barrier Boosting
Rätsch, G.; Warmuth, M.; Mika, S.; Onoda, T.; Lemm, S.; Müller, K.-R.
Conference Paper
2000Decomposition algorithms for analysing brain signals
Müller, K.-R.; Kohlmorgen, J.; Ziehe, A.; Blankertz, B.
Conference Paper
2000Engineering support vector machine kernels that recognize translation initiation sites
Zien, A.; Rätsch, G.; Mika, S.; Schölkopf, B.; Lengauer, T.; Müller, K.-R.
Journal Article
2000Identification of Nonstationary Dynamics in Physiological Recordings
Kohlmorgen, J.; Müller, K.-R.; Rittweger, J.; Pawelzik, K.
Journal Article
2000Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans
Wübbler, G.; Ziehe, A.; Mackert, B.-M.; Müller, K.-R.; Trahms, L.; Curio, G.
Journal Article
2000Invariant feature extraction and classification in kernel spaces
Mika, S.; Rätsch, G.; Weston, J.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
2000nu -Arc: Ensemble Learning in the Presence of Outliers
Rätsch, G.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Onoda, T.; Mika, S.
Conference Paper
2000OFI: Optimal Filtering Algorithms for Source Separation
Ziehe, A.; Nolte, G.; Curio, G.; Müller, K.-R.
Conference Paper
2000Robust Ensemble Learning for Data Mining
Rätsch, G.; Schölkopf, B.; Smola, A.J.; Mika, S.; Onoda, T.; Müller, K.-R.
Conference Paper
2000Subspace information criterion for non-quadratic regularizers
Tsuda, K.; Sugiyama, M.; Müller, K.-R.
Report
2000SVM and boosting. One class
Rätsch, G.; Schölkopf, B.; Mika, S.; Müller, K.-R.
Report
2000Time series prediction using SV regression and neural networks
Müller, k.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
2000Unmixing hyperspectral data
Parra, L.; Spence, C.; Sajda, P.; Ziehe, A.; Müller, K.-R.
Conference Paper
1999Analysis of Nonstationary Dynamics using Hidden Markov Mixtures of Experts
Liehr, S.; Pawelzik, K.; Kohlmorgen, J.; Müller, K.-R.
Journal Article
1999Artifact reduction in magnetoneurographic recordings with ICA using temporal information
Ziehe, A.; Müller, K.-R.; Nolte, G.; Mackert, B.-M.; Curio, G.
Conference Paper
1999An asymptotic analysis and improvement of AdaBoost in the binary classification case
Onoda, T.; Rätsch, G.; Müller, K.-R.
Journal Article
1999Classification on proximity data with LP-machines
Graepel, T.; Herbrich, R.; Schölkopf, B.; Smola, A.J.; Bartlett, P.L.; Müller, K.-R.; Obermayer, K.; Williamson, R.
Conference Paper
1999Das Cocktailparty-Problem
Ziehe, A.; Müller, K.-R.
Journal Article
1999Das Cocktailparty-Problem
Ziehe, A.; Müller, K.-R.
Journal Article
1999Engineering support vector machines kernels that recognize translation initiation sites in DNA
Zien, A.; Rätsch, G.; Mika, S.; Schölkopf, B.; Lemmen, C.; Smola, A.J.; Lengauer, T.; Müller, K.-R.
Conference Paper
1999Fast change point detection in switching dynamics using a hidden markov model of prediction experts
Kohlmorgen, J.; Lemm, S.; Müller, K.-R.; Liehr, S.; Pawelzik, K.
Conference Paper
1999Fisher discriminant analysis with kernels
Mika, S.; Ratsch, G.; Weston, J.; Schölkopf, B.; Müller, K.-R.
Conference Paper
1999Fisher discrminant analysis with kerneös
Mika, S.; Rätsch, G.; Schölkopf, B.; Müller, K.-R.
Conference Paper
1999Hidden markov gating for prediction of change points in switching dynamical systems
Liehr, S.; Pawelzik, K.; Kohlmorgen, J.; Lemm, S.; Müller, K.-R.
Conference Paper
1999Hidden markov mixtures of experts for prediction of switching dynamics
Liehr, S.; Pawelzik, K.; Kohlmorgen, J.; Lemm, S.; Müller, K.-R.
Conference Paper
1999Independent component analysis of non-invasively recorded cortical magnetic DC-fields in humans
Wübbeler, G.; Ziehe, A.; Mackert, B.-M.; Müller, K.-R.; Trahms, L.; Curio, G.
Report
1999Inequities in the German research system
Jähnichen, S.; Müller, K.-R.
Journal Article
1999Input space vs. feature space in kernel-based methods
Schölkopf, B.; Mika, S.; Burges, C.J.; Knirsch, P.; Müller, K.-R.; Rätsch, G.; Smola, A.J.
Journal Article
1999JADE-TD: Combining higher-order statistics and temporal information for blind source separation (with noise)
Müller, K.-R.; Philips, P.; Ziehe, A.
Conference Paper
1999Kernel PCA and de-noising in feature spaces
Mika, S.; Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Scholz, M.; Rätsch, G.
Conference Paper
1999Kernel principal component analysis
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
1999Lernen mit Kernen
Schölkopf, B.; Müller, K.-R.; Smola, A.J.
Journal Article
1999Nonlinear PCA with support vector kernels
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
1999Regularizing AdaBoost
Rätsch, G.; Onoda, T.; Müller, K.-R.
Conference Paper
1999Using support vector machines for time series prediction
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
1998Analysis of Drifting Dynamics with Neural Network Hidden Markov Models
Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Conference Paper
1998Artifact reduction in magnetoneurography based on time-delayed second order correlations
Ziehe, A.; Müller, K.-R.; Nolte, G.; Mackert, B.-M.; Cuiro, G.
Study
1998An asymptotic analyis of AdaBoost in the binary classification case
Onoda, T.; Rätsch, G.; Müller, K.-R.
Conference Paper
1998Asymptotically optimal choice of curly epsilon-loss for support vector machines
Smola, A.J.; Murata, N.; Schölkopf, B.; Müller, K.-R.
Conference Paper
1998The connection between regularization operators and support vector kernel
Smola, A.J.; Schölkopf, B.; Müller, K.-R.
Journal Article
1998Convex cost functions for support vector regression
Smola, A.J.; Schölkopf, B.; Müller, K.-R.
Conference Paper
1998Data set A is a pattern matching problem
Kohlmorgen, J.; Müller, K.-R.
Journal Article
1998Efficient BackProp
LeCun, Y.; Bottou, L.; Orr, G.B.; Müller, K.-R.
Book Article
1998An improvement of AdaBoost to avoid overfitting
Rätsch, G.; Onoda, T.; Müller, K.-R.
Conference Paper
1998Kernel PCA pattern reconstruction via approximate pre-images
Schölkopf, B.; Mika, S.; Smola, A.J.; Rätsch, G.; Müller, K.-R.
Conference Paper
1998Neural networks
: Orr, G.B.; Müller, K.-R.
Book
1998Nonlinear component analysis as a kernel eigenvalue problem
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Journal Article
1998Semiparametric support vector and liear programming machines
Smola, A.J.; Onoda, T.; Müller, K.-R.
Report
1998Soft Margins for AdaBoost
Rätsch, G.; Onoda, T.; Müller, K.-R.
Report
1998Support vector methods in learning and feuture extraction
Schölkopf, B.; Smola, A.J.; Müller, K.-R.; Burges, C.J.; Vapnik, V.
Journal Article
1998TDSEP - an efficient algorithm for blind separation using time structure
Ziehe, A.; Müller, K.-R.
Conference Paper
1997Adaptive on-line learning in changing environments
Murata, N.; Müller, K.-R.; Ziehe, A.; Amari, S.
Conference Paper
1997Analysis of Wake/Sleep EEG with Competing Experts
Kohlmorgen, J.; Müller, K.-R.; Rittweger, J.; Pawelzik, K.
Conference Paper
1997Asymptotic statistical theory of overtraining and cross-validation
Amari, S.; Murata, N.; Müller, K.-R.; Finke, M.; Yang, H.
Journal Article
1997Asymptotic statistical theory of overtraining and cross-validation
Amari, S.-i.; Murata, N.; Müller, K.-R.; Finke, M.; Yang, H.
Book
1997CANDY - analysis of physiological data from the wake-sleep transition with neural networks
Müller, K.-R.
Journal Article
1997Divisive strategies for predicting non-autonomous and mixed systems
Pawelzik, K.; Müller, K.-R.; Kohlmorgen, J.
Book
1997Kernel Principal Component Analysis, Predicting Time Serie with Support Vector Machines
Schölkopf, B.; Smola, A.J.; Müller, K.-R.
Conference Paper
1997Predicting Time Series with Support Vector Machines
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
1997Segmentation and identification of drifting dynamical systems
Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Conference Paper
1997Using Support Vector Machines for Time Series Prediction
Müller, K.-R.; Smola, A.J.; Rätsch, G.; Schölkopf, B.; Kohlmorgen, J.; Vapnik, V.
Conference Paper
1996Analysis of drifting dynamics with competing predictors
Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Conference Paper
1996Annealed competition of experts for a segmentation and classification of switching dynamics
Pawelzik, K.; Kohlmorgen, J.; Müller, K.-R.
Journal Article
1996Averanging and Finite-Size Analysis for Disorder: The Hopfield model
Stiefvater, T.; Müller, K.-R.; Kuehn, R.
Journal Article
1996A numerical study on learning curves in stochastic multi-layer feed-forward networks
Müller, K.-R.; Finke, M.; Schulten, K.; Murata, N.; Amari, S.
Journal Article
1996Prediction of mixtures
Pawelzik, K.; Müller, K.-R.; Kohlmorgen, J.
Conference Paper
1996Statistical theory of overtraining-is cross-validation asymptotically effective?
Amari, S.; Murata, N.; Müller, K.-R.; Finke, M.; Yang, H.
Conference Paper
1995Analysing physiological data on wake-sleep state transition with competing predictors
Müller, K.-R.; Kohlmorgen, J.; Rittweger, J.; Pawelzik, K.
Conference Paper
1995Analysis of switching dynamics with competing neural networks
Müller, K.-R.; Kohlmorgen, J.; Pawelzik, K.
Journal Article
1995Annealed competition of experts for a segmentation and classification of switching dynamics
Pawelzik, K.; Kohlmorgen, J.; Müller, K.-R.
Book
1995Asymptotic statistical theory of overtraining and cross-validation
Amari, S.; Murata, N.; Müller, K.-R.; Finke, M.; Yang, H.
Report
1995An experimental study on asymptotic learning curves
Müller, K.-R.; Finke, M.; Schulten, K.; Murata, N.; Amari, S.
Report
1995Improving short-term prediction with competing experts
Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Conference Paper
1995Learning curves of faithful versus unfaithful neural network models
Müller, K.-R.; Bös, S.; Finke, M.; Murata, N.
Conference Paper
1995A numerical study on learning curves in stochastic multi-layer feed-forward networks
Müller, K.-R.; Finke, M.; Schulten, K.; Murata, N.; Amari, S.
Report
1995On large scala simulations for learning curves
Müller, K.-R.; Finke, M.; Schulten, K.; Murata, N.; Amari, S.
Conference Paper
1994Competing predictors segment and identify switching dynamics
Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Conference Paper
1994The generalisation ability of diluted perceptrons
Kuhlmann, P.; Müller, K.-R.
Journal Article
1994Segmentation and identification of switching dynamics with competing neural networks
Kohlmorgen, J.; Müller, K.-R.; Pawelzik, K.
Conference Paper
1994Spärlich verbundene neuronale Netze und ihre Anwendung
Müller, K.-R.
Dissertation
1994The use competing neural networks for segmentation and identification of switching dynamics
Müller, K.-R.; Kohlmorgen, J.; Pawelzik, K.
Conference Paper
1993Associative storage and retrieval of highly correlated natural pattern sets in diluted hopfield networks
Müller, K.-R.; Stiefvater, T.; Janssen, H.
Conference Paper
1993Estimating a-posteriori probabilities using stochastic network models
Finke, M.; Müller, K.-R.
Conference Paper
1993Numerical investigations on the binary perceptron using a massively parallel computer
Finke, M.; Müller, K.-R.
Report
1993Sparsely connected Hopfield networks for the recognition of correlated pattern sets
Stiefvater, T.; Müller, K.-R.; Janssen, H.
Journal Article
1993Using reduce for replica calculations
Lukowicz, P.; Müller, K.-R.; Seiler, W.
Conference Paper
1982General cost functions for Support Vector Regression
Smola, A.J.; Schölkopf, B.; Müller, K.-R.
Conference Paper