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9
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High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
– Francis Bach
- 2009
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Mathematical Programming for . . .
– Ronny Luss
- 2009
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Convex Optimization for the Design of Learning Machines
– K. Pelckmans, J. A. K. Suykens, B. De Moor
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Discriminant Analysis for Dimensionality Reduction: An Overview of Recent Developments
– Jieping Ye, Shuiwang Ji
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18
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Optimal kernel selection in kernel Fisher discriminant analysis
– Seung-jean Kim, Alessandro Magnani, Stephen Boyd
- 2006
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Contents lists available at ScienceDirect
– unknown authors
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6
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Training SVM with Indefinite Kernels
– Jianhui Chen, Jieping Ye
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81
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Consistency of the group lasso and multiple kernel learning
– Francis R. Bach
- 2007
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2. Function space / normRegularizations
– Francis Bach, Special Thanks To R. Jenatton, J. Mairal, G. Obozinski Supervised Learning, Data Xi X, Yi Y, Function Space Norm
- 2009
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Learning with Sparsity-Inducing Norms
– Francis Bach
- 2008
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4
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SimpleMKL
– Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu, Yves Grandvalet
- 2008
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ARTICLE IN PRESS Pattern Recognition Letters xxx (2010) xxx–xxx Contents lists available at ScienceDirect Pattern Recognition Letters
– Mehmet Gönen, Ethem Alpaydın
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Contents lists available at ScienceDirect Pattern Recognition
– Mehmet Gönen, Ethem Alpaydın
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Learning with Unlabeled Data
– Xu Zenglin
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1
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Two-Layer Multiple Kernel Learning
– Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
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Metric Learning with . . .
– Kilian Quirin Weinberger
- 2007
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Learning Subspace Kernels for Classification
– Jianhui Chen, Shuiwang Ji, Betul Ceran, Jieping Ye
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Predicting Abnormal Returns From News Using Text Classification
– Ronny Luss Alex
- 2009
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3
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Multiple Kernel Clustering
– Bin Zhao, James T. Kwok, Changshui Zhang
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