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Machine learning in bioinformatics
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2005
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Approximating a Gram Matrix for Improved Kernel-Based Learning
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Petros Drineas, Michael W. Mahoney
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Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence
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Marie desJardins, Priyang Rathod, Lise Getoor
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2004
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A Function Representation for Learning in Banach Spaces
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Charles A. Micchelli, Massimiliano Pontil
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Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers
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Satoshi Oyama, Christopher D. Manning
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Iteratively Extending Time Horizon Reinforcement Learning
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Damien Ernst, Pierre Geurts, Louis Wehenkel
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