Chapman & Hall/CRC
Computer Science and Data Analysis Series
The interface between the computer and statistical sciences is increasing, as each
discipline seeks to harness the power and resources of the other. This series aims to
foster the integration between the computer sciences and statistical, numerical, and
probabilistic methods by publishing a broad range of reference works, textbooks, and
handbooks.
SERIES EDITORS
David Blei, Princeton University
David Madigan, Rutgers University
Marina Meila, University of Washington
Fionn Murtagh, Royal Holloway, University of London
Proposals for the series should be sent directly to one of the series editors above, or submitted to:
Chapman & Hall/CRC
Taylor and Francis Group
3 Park Square, Milton Park
Abingdon, OX14 4RN, UK
Published Titles
Semisupervised Learning for Computational Linguistics
Steven Abney
Visualization and Verbalization of Data
Jörg Blasius and Michael Greenacre
Design and Modeling for Computer Experiments
Kai-Tai Fang, Runze Li, and Agus Sudjianto
Microarray Image Analysis: An Algorithmic Approach
Karl Fraser, Zidong Wang, and Xiaohui Liu
R Programming for Bioinformatics
Robert Gentleman
Exploratory Multivariate Analysis by Example Using R
François Husson, Sébastien Lê, and Jérôme Pagès
Bayesian Articial Intelligence, Second Edition
Kevin B. Korb and Ann E. Nicholson
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