Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
Title: Pattern Recognition and Machine Learning / Edition 1, Author: Christopher M. Bishop
Title: Prediction, Learning, and Games, Author: Nicolo Cesa-Bianchi
Title: Optimal Learning / Edition 1, Author: Warren B. Powell
Title: Bayesian Reasoning and Machine Learning, Author: David Barber
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Kernel Methods for Pattern Analysis / Edition 1, Author: John Shawe-Taylor
Title: Machine Learning for Human Motion Analysis: Theory and Practice, Author: Liang Wang
Title: Phase Transitions in Machine Learning, Author: Lorenza Saitta
Title: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Machine Learning and its Applications / Edition 1, Author: Peter Wlodarczak
Title: Machine Learning in Bioinformatics / Edition 1, Author: Yanqing Zhang
Title: Brain-Computer Interfaces: An international assessment of research and development trends / Edition 1, Author: Theodore W. Berger
Title: Algorithmic Learning in a Random World / Edition 1, Author: Vladimir Vovk
Title: Learning with Uncertainty / Edition 1, Author: Xizhao Wang
Title: Bayesian Networks and Decision Graphs, Author: Thomas Dyhre Nielsen
Title: Machine Learning: Discriminative and Generative / Edition 1, Author: Tony Jebara
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
Title: Handbook Of Pattern Recognition And Computer Vision (3rd Edition) / Edition 3, Author: Chi Hau Chen
Title: Adaptivity and Learning: An Interdisciplinary Debate / Edition 1, Author: Reimer Kïhn

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