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The Bioinformatics : Machine Learning Approach.

Author: Baldi, Pierre.; S??ren Brunak
Publisher: MIT Press 2001.
Series: Adaptive computation and machine learning Bioinformatics
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
A guide to machine learning approaches and their application to the analysis of biological data.
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Baldi, Pierre.; S??ren Brunak
ISBN: 1282096087 9781282096080
OCLC Number: 815776271
Language Note: English.
Description: 1 online resource (477 pages).
Contents: Series Foreword; Preface; 1 Introduction; 2 Machine-Learning Foundations: The Probabilistic Framework; 3 Probabilistic Modeling and Inference: Examples; 4 Machine Learning Algorithms; 5 Neural Networks: The Theory; 6 Neural Networks: Applications; 7 Hidden Markov Models: The Theory; 8 Hidden Markov Models: Applications; 9 Probabilistic Graphical Models in Bioinformatics; 10 Probabilistic Models of Evolution: Phylogenetic Trees; 11 Stochastic Grammars and Linguistics; 12 Microarrays and Gene Expression; 13 Internet Resources and Public Databases; A Statistics. B Information Theory, Entropy, and Relative EntropyC Probabilistic Graphical Models; D HMM Technicalities, Scaling, Periodic Architectures, State Functions, and Dirichlet Mixtures; E Gaussian Processes, Kernel Methods, and Support Vector Machines; F Symbols and Abbreviations; References; Index.
Series Title: Adaptive computation and machine learning Bioinformatics

Abstract:

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

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