Chapman & Hall/CRC
Machine Learning & Pattern Recognition Series
SERIES EDITORS
Ralf Herbrich
Amazon Development Center
Berlin, Germany
Thore Graepel
Microsoft Research Ltd.
Cambridge, UK
AIMS AND SCOPE
This series reects the latest advances and applications in machine learning and pattern recognition
through the publication of a broad range of reference works, textbooks, and handbooks. The inclusion of
concrete examples, applications, and methods is highly encouraged. The scope of the series includes, but
is not limited to, titles in the areas of machine learning, pattern recognition, computational intelligence,
robotics, computational/statistical learning theory, natural language processing, computer vision, game
AI, game theory, neural networks, computational neuroscience, and other relevant topics, such as machine
learning applied to bioinformatics or cognitive science, which might be proposed by potential contribu-
tors.
PUBLISHED TITLES
BAYESIAN PROGRAMMING
Pierre Bessière, Emmanuel Mazer, Juan-Manuel Ahuactzin, and Kamel Mekhnacha
UTILITY-BASED LEARNING FROM DATA
Craig Friedman and Sven Sandow
HANDBOOK OF NATURAL LANGUAGE PROCESSING, SECOND EDITION
Nitin Indurkhya and Fred J. Damerau
COST-SENSITIVE MACHINE LEARNING
Balaji Krishnapuram, Shipeng Yu, and Bharat Rao
COMPUTATIONAL TRUST MODELS AND MACHINE LEARNING
Xin Liu, Anwitaman Datta, and Ee-Peng Lim
MULTILINEAR SUBSPACE LEARNING: DIMENSIONALITY REDUCTION OF
MULTIDIMENSIONAL DATA
Haiping Lu, Konstantinos N. Plataniotis, and Anastasios N. Venetsanopoulos
MACHINE LEARNING: An Algorithmic Perspective, Second Edition
Stephen Marsland
SPARSE MODELING: THEORY, ALGORITHMS, AND APPLICATIONS
Irina Rish and Genady Ya. Grabarnik
A FIRST COURSE IN MACHINE LEARNING, SECOND EDITION
Simon Rogers and Mark Girolami
STATISTICAL REINFORCEMENT LEARNING: MODERN MACHINE LEARNING APPROACHES
Masashi Sugiyama
MULTI-LABEL DIMENSIONALITY REDUCTION
Liang Sun, Shuiwang Ji, and Jieping Ye
REGULARIZATION, OPTIMIZATION, KERNELS, AND SUPPORT VECTOR MACHINES
Johan A. K. Suykens, Marco Signoretto, and Andreas Argyriou
ENSEMBLE METHODS: FOUNDATIONS AND ALGORITHMS
Zhi-Hua Zhou
