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Chapman & Hall/CRC
Machine Learning & Pattern Recognition Series
Cost-Sensitive
Machine
Learning
Edited by
Balaji Krishnapuram
Shipeng Yu
Bharat Rao
Cost-Sensitive
Machine
Learning
Chapman & Hall/CRC
Machine Learning & Pattern Recognition Series
SERIES EDITORS
Ralf Herbrich and Thore Graepel
Microsoft Research Ltd.
Cambridge, UK
AIMS AND SCOPE
This series reflects 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, appli-
cations, and methods is highly encouraged. The scope of the series includes,
but is not limited to, titles in the areas of machine learning, pattern recogni-
tion, 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 contributors.
PUBLISHED TITLES
MACHINE LEARNING: An Algorithmic Perspective
Stephen Marsland
HANDBOOK OF NATURAL LANGUAGE PROCESSING,
Second Edition
Nitin Indurkhya and Fred J. Damerau
UTILITY-BASED LEARNING FROM DATA
Craig Friedman and Sven Sandow
A FIRST COURSE IN MACHINE LEARNING
Simon Rogers and Mark Girolami
COST-SENSITIVE MACHINE LEARNING
Balaji Krishnapuram, Shipeng Yu, and Bharat Rao
Chapman & Hall/CRC
Machine Learning & Pattern Recognition Series
Cost-Sensitive
Machine
Learning
Edited by
Balaji Krishnapuram
Shipeng Yu
Bharat Rao
Burr Settles retains the copyright for Chapter 1 text and figures.
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