Bioinformatics: The Machine Learning Approach / Edition 2

Bioinformatics: The Machine Learning Approach / Edition 2

by Pierre Baldi, S?ren Brunak
     
 

A guide to machine learning approaches and their application to the analysis of biological data.See more details below

Overview

A guide to machine learning approaches and their application to the analysis of biological data.

Product Details

ISBN-13:
9780262025065
Publisher:
MIT Press
Publication date:
08/01/2001
Series:
Adaptive Computation and Machine Learning series
Edition description:
second edition
Pages:
476
Product dimensions:
7.00(w) x 9.00(h) x 1.25(d)
Age Range:
18 Years

Meet the Author

Pierre Baldi is Professor of Information and Computer Science and of Biological Chemistry (College of Medicine) and Director of the Institute for Genomics and Bioinformatics at the University of California, Irvine.

Søren Brunak is Professor and Director of the Center for Biological Sequence Analysis at the Technical University of Denmark.

Table of Contents

Series Foreword
Preface
1Introduction1
2Machine Learning Foundations: The Probabilistic Framework39
3Probabilistic Modeling and Inference: Examples59
4Machine Learning Algorithms73
5Neural Networks: The Theory91
6Neural Networks: Applications105
7Hidden Markov Models: The Theory143
8Hidden Markov Models: Applications167
9Hybrid Systems: Hidden Markov Models and Neural Networks201
10Probabilistic Models of Evolution: Phylogenetic Trees217
11Stochastic Grammars and Linguistics229
12Internet Resources and Public Databases251
A: Statistics271
BInformation Theory, Entropy, and Relative Entropy281
CProbabilistic Graphical Models289
DHMM Technicalities, Scaling, Periodic Architectures, State Functions, and Dirichlet Mixtures299
E: List of Main Symbols and Abbreviations311
References319
Index347

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