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2012
Conference Paper
Title

Matrix factorization as search

Abstract
Simplex Volume Maximization (SiVM) exploits distance geometry for efficiently factorizing gigantic matrices. It was proven successful in game, social media, and plant mining. Here, we review the distance geometry approach and argue that it generally suggests to factorize gigantic matrices using search-based instead of optimization techniques.
Author(s)
Kersting, Kristian  
Bauckhage, Christian  
Thurau, Christian  
Wahabzada, Mirwaes  
Mainwork
Machine learning and knowledge discovery in databases. European conference, ECML PKDD 2012. Pt.2  
Conference
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2012  
DOI
10.1007/978-3-642-33486-3_62
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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