Stochastic search using the natural gradient
Yi Sun, Daan Wierstra, Tom Schaul, and Jürgen Schmidhuber, 2009
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Pattern Recognition and Machine Learning
Christopher M. Bishop, 2006
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Data Mining: Practical machine learning tools and techniques
Ian H. Witten and Eibe Frank, 2005
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Discriminative, Generative and Imitative learning
Tony Jebara, 2002
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On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
Andrew Y. Ng and Michael I. Jordan, 2001
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Neural Networks: A Comprehensive Foundation
Simon Haykin, 1998
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No free lunch theorems for optimization
David H. Wolpert and William G. Macready, 1997
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Evaluation and Selection of Biases in Machine Learning
Diana F. Gordon and Marie desJardins, 1995
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An Introduction to Computational Learning Theory
Michael J. Kearns and Umesh V. Vazirani, 1994
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Shift of Bias for Inductive Concept Learning
Paul E. Utgoff, 1986
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The Need for Biases in Learning Generalizations
Tom M. Mitchell, 1980
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