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106
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ICML
2005
IEEE
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Machine Learning
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ICML 2005
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Predictive low-rank decomposition for kernel methods
16 years 3 months ago
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www.cs.berkeley.edu
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
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