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: Reusable Components for Knowledge Modelling / Edition 1, Author: E Motta
Title: Iterative Learning Control for Multi-agent Systems Coordination / Edition 1, Author: Shiping Yang
Title: Pattern Classification Using Ensemble Methods, Author: Lior Rokach
Title: Bayesian Networks and Decision Graphs / Edition 2, Author: Thomas Dyhre Nielsen
Title: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Machine Intelligence 13: Machine Intelligence and Inductive Learning, Author: K. Furukawa
Title: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications / Edition 1, Author: Andrzej Cichocki
Title: Deep Learning Neural Networks: Design And Case Studies, Author: Daniel Graupe
Title: Machine Learning in Bioinformatics / Edition 1, Author: Yanqing Zhang
Title: Semantic Labeling of Places with Mobile Robots / Edition 1, Author: Óscar Martinez Mozos
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Machine Learning: Algorithms and Applications / Edition 1, Author: Mohssen Mohammed
Title: Adaptivity and Learning: An Interdisciplinary Debate / Edition 1, Author: Reimer Kïhn

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