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Machine Learning, Information Retrieval, and Artificial Intelligence

Thank you for visiting the Computer Science Discount Page. Please browse our categories on the left and find some titles of interest to you. Enter promotion code MW07FCOMP at checkout to apply your 20% discount. Offer expires June 25, 2008. To view our 2007-2008 online catalog, please visit www.cambridge.org/cs2007.

To view our full list of computer science titles, click here.

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Add to basketAn Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Nello Cristianini, John Shawe-Taylor


This is the first comprehensive introduction to Support Vector Machines (SVMs), a new generation learning system based on recent advances ...

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Add to basketFinding Out About

A Cognitive Perspective on Search Engine Technology and the WWW


Richard K. Belew


The World Wide Web is rapidly filling with more text than anyone could have imagined even a short time ago. ...

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Add to basketIndependent Component Analysis

Principles and Practice


Edited by Stephen Roberts, Richard Everson


Independent Component Analysis (ICA) has recently become an important tool for modelling and understanding empirical datasets. It is a method ...

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$110.00

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Add to basketInformation Theory, Inference and Learning Algorithms

David J. C. MacKay


David MacKay breaks new ground in this entertaining textbook by giving a united introduction to information theory and inference. These ...

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Add to basketKernel Methods for Pattern Analysis

John Shawe-Taylor, Nello Cristianini


This book fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready ...

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Add to basketKnowledge Representation, Reasoning and Declarative Problem Solving

Chitta Baral


Knowledge management and knowledge-based intelligence are areas of importance in today’s economy and society, and to exploit them fully and ...

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Add to basket Neural Network Learning

Theoretical Foundations


Martin Anthony, Peter L. Bartlett


This book describes recent theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning ...

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Add to basket On-Line Learning in Neural Networks

Edited by David Saad


On-line learning is one of the most commonly used techniques for training large layered networks. Traditional methods have been recently ...

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Add to basketPrinciples of Constraint Programming

Krzysztof Apt


Scheduling, vehicle routing and timetabling are all examples of constraint problems, and methods to solve them rely on the idea ...

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Add to basketProbabilistic Reasoning in Multiagent Systems

A Graphical Models Approach


Yang Xiang


To maintain today’s ever-more-complex computer systems, there is a growing need for intelligent agents that can cooperate on complex tasks ..

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Add to basketSatisficing Games and Decision Making

With Applications to Engineering and Computer Science


Wynn C. Stirling


In our day-to-day lives we constantly make decisions which are simply ‘good enough’ rather than optimal. Most computer decision-making algorithms, ...

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$117.00

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Add to basketSpiking Neuron Models

Single Neurons, Populations, Plasticity


Wulfram Gerstner, Werner M. Kistler


This introduction to spiking neurons is aimed at those taking courses in computational neuroscience, theoretical biology, biophysics, or neural networks. ...

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Add to basketStatistical Mechanics of Learning

A. Engel, C. Van den Broeck


Learning is natural activity, and it has always been a challenge for us to understand the process. Artificial neural networks ...

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Add to basketTalking with Computers

Explorations in the Science and Technology of Computing


Thomas Dean


In this lively series of essays for students and general readers, Tom Dean explores interesting fundamental topics in computer science ...

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Add to basketThe Geometry of Information Retrieval

C. J. van Rijsbergen


The author, one of the leading researchers in the area, shows how different models of information retrieval can be combined ...

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$64.00

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Add to basketThe Spoken Language Translator

Edited by Manny Rayner, David Carter, Pierrette Bouillon, Vassilis Digalakis, Mats Wirén


This book, which should be of interest to anyone working in computational linguistics, speech recognition, cognitive science, artificial intelligence or ...

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