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TypeName FilesAddedSizeDLs
Metric and Kernel Learning Using a Linear Transformation 1 2014-04-28 473.91kB 41 0
A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification (Kernel Machines Section) 1 2014-04-28 301.96kB 37 0
Clustering with Bregman Divergences 1 2014-04-28 342.74kB 30 0
Clustering on the Unit Hypersphere using von Mises-Fisher Distributions 1 2014-04-28 295.34kB 30 0
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning 1 2014-04-28 317.95kB 37 0
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation 1 2014-04-28 518.05kB 39 0
Low-Rank Kernel Learning with Bregman Matrix Divergences 1 2014-04-28 390.24kB 521+ 0
A Risk Comparison of Ordinary Least Squares vs Ridge Regression 1 2014-04-28 189.76kB 54 0

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