Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.
2011Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search
Sugiyama, M.; Yamada, M.; Bünau, P. von; Suzuki, T.; Kanamori, T.; Kawanabe, M.
Journal Article
2010Dimensionality reduction for density ratio estimation in high-dimensional spaces
Sugiyama, M.; Kawanabe, M.; Chui, P.L.
Journal Article
2008Approximating the best linear unbiased estimator of non-Gaussian signals with Gaussian noise
Sugiyama, M.; Kawanabe, M.; Blanchard, G.; Müller, K.-R.
Journal Article
2008Direct importance estimation for covariate shift adaptation
Sugiyama, M.; Suzuki, T.; Nakajima, S.; Kashima, H.; Bunau, P. von; Kawanabe, M.
Journal 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
2007Covariate shift adaptation by importance weighted cross validation
Sugiyama, M.; Krauledat, M.; Müller, K.-R.
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
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
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
2005Model selection under covariate shift
Sugiyama, M.; Müller, K.-R.
Conference Paper
2004Estimating the error at given test input points for linear regression
Sugiyama, M.
Conference Paper
2004On the influence of input noise on a generalization error estimator
Sugiyama, M.; Okabe, Y.; Ogawa, H.
Conference Paper
2004Regularizing generalization error estimators: A novel approach to robust model selection
Sugiyama, M.; Kawanabe, M.; Müller, K.-R.
Conference Paper
2004Trading variance reduction with unbiasedness. The regularized subspace information criterion for robust model selection in kernel regression
Sugiyama, M.; Kawanabe, M.; Müller, K.R.
Journal Article
2003The subspace information criterion for infinite dimensional hypothesis spaces
Sugiyama, 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
2002Subspace information criterion for nonquadratic regularizers - model selection for sparse regressors
Tsuda, K.; Sugiyama, M.; Miller, K.-R.
Journal Article
2000Subspace information criterion for non-quadratic regularizers
Tsuda, K.; Sugiyama, M.; Müller, K.-R.
Technical Report