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Title: Prediction, Learning, and Games, Author: Nicolo Cesa-Bianchi
Title: Probabilistic Approaches For Social Media Analysis: Data, Community And Influence, Author: Kun Yue
Title: Probability for Statistics and Machine Learning: Fundamentals and Advanced Topics / Edition 1, Author: Anirban DasGupta
Title: Recent Advances in Robot Learning: Machine Learning / Edition 1, Author: Judy A. Franklin
Title: Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability / Edition 1, Author: Danilo P. Mandic
Title: Reinforcement and Systemic Machine Learning for Decision Making / Edition 1, Author: Parag Kulkarni
Title: Reusable Components for Knowledge Modelling / Edition 1, Author: E Motta
Title: Robot Learning / Edition 1, Author: J. H. Connell
Title: Robot Learning by Visual Observation / Edition 1, Author: Aleksandar Vakanski
Title: Rough Sets and Data Mining: Analysis of Imprecise Data / Edition 1, Author: T.Y. Lin
Title: Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Design, Author: Anne Laurent
Title: Scaling up Machine Learning: Parallel and Distributed Approaches, Author: Ron Bekkerman
Title: Self-Adaptive Systems for Machine Intelligence / Edition 1, Author: Haibo He
Title: Semantic Labeling of Places with Mobile Robots / Edition 1, Author: Óscar Martinez Mozos
Title: Strength or Accuracy: Credit Assignment in Learning Classifier Systems / Edition 1, Author: Tim Kovacs
Title: Super-Intelligent Machines / Edition 1, Author: Bill Hibbard
Title: Symbolic Visual Learning / Edition 1, Author: Katsushi Ikeuchi
Title: The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning / Edition 1, Author: Reuven Y. Rubinstein
Title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction / Edition 2, Author: Trevor Hastie

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