Chapman & Hall/CRC Machine Learning and Pattern Recognition Book Series

[Randi Cohen]

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A Call for Authors
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Introducing a New Book Series from Chapman & Hall/CRC Press

Machine Learning and Pattern Recognition Series

AIMS AND SCOPE:

The field of machine learning has experienced significant growth in
the past two decades as new algorithms and techniques have been
developed and new research and applications have emerged. 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. We are looking for single
authored works and edited collections that will:

* Present the latest research and applications in the field, including
new mathematical, statistical, and computational methods and
techniques

* Provide both introductory and advanced material for students and
professionals

* Cover a broad range of topics around learning and inference

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, and computational
neuroscience. We are also willing to consider other relevant topics,
such as machine learning applied to bioinformatics or cognitive
science, which might be proposed by potential contributors.

Series Editors

Ralf Herbrich
Microsoft Research Ltd.
Cambridge, UK
Ralf.H...@taylorandfrancis.com

Thore Graepel
Microsoft Research Ltd.
Cambridge, UK
Thore....@taylorandfrancis.com


Proposals for this series may be submitted to the series editors or
directly to:

Randi Cohen
Computer Science Acquisitions Editor
Chapman & Hall/CRC Press
Randi...@taylorandfrancis.com
www.crcpress.com