Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie
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: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability / Edition 1, Author: Danilo P. Mandic
Title: Design and Control of Intelligent Robotic Systems / Edition 1, Author: Dikai Liu
Title: Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications / Edition 1, Author: Andrzej Cichocki
Title: Machine Learning in Bioinformatics / Edition 1, Author: Yanqing Zhang
Title: Advances In Pattern Recognition - Proceedings Of The 6th International Conference, Author: Pinakpani Pal
Title: Probabilistic Approaches For Social Media Analysis: Data, Community And Influence, Author: Kun Yue
Title: Computational Learning and Probabilistic Reasoning / Edition 1, Author: A. Gammerman
Title: Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research / Edition 1, Author: Jun Yu
Title: Handbook Of Pattern Recognition And Computer Vision (3rd Edition) / Edition 3, Author: Chi Hau Chen
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Semantic Labeling of Places with Mobile Robots / Edition 1, Author: Óscar Martinez Mozos
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

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