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Bioinformatics : the machine learning approach / Pierre Baldi & Soren Brunak.

By: Baldi, PierreContributor(s): Brunak, SorenMaterial type: TextTextSeries: Adaptive computation and machine learning: Publisher: Cambridge, Mass. : MIT Press, 2001Edition: 2nd edDescription: xxi, 452 pages : illustrations ; 24 cmISBN: 026202506X; 9780262025065Subject(s): Bioinformatics | Molecular biology -- Computer simulation | Molecular biology -- Mathematical models | Neural networks (Computer science) | Machine learning | Markov processes | Computational Biology -- methods | Artificial Intelligence | Markov Chains | Models, Theoretical | Neural Networks (Computer) | Bio-informatique | Biologie mol�eculaire -- Simulation par ordinateur | Biologie mol�eculaire -- Mod�eles math�ematiques | R�eseaux neuronaux (Informatique) | Apprentissage automatique | Markov, Processus de | Bioinformatics | Machine learning | Markov processes | Molecular biology -- Computer simulation | Molecular biology -- Mathematical models | Neural networks (Computer science) | Machine-learning | Moleculaire biologie | Maschinelles Lernen | Molekulare Bioinformatik | Computersimulation | Bioinform�atica | Redes neurais | Biologia molecular (modelos matem�aticos;simula�c�ao computacional) | Cadeias de markov | Biologie mol�eculaire -- Simulation par ordinateur | Biologie mol�eculaire -- Mod�eles math�ematiques | R�eseaux neuronaux (informatique) | Apprentissage automatique | Markov, Processus deDDC classification: 574.028 LOC classification: QH506 | .B35 2001Other classification: 42.11 | 54.72 | PP 04 Online resources: Table of contents | Full text available from IEEE CISnet: Rutgers restricted
Contents:
Introduction -- Machine-learning foundations : the probabilistic framework -- Probabilistic modeling and inference : examples -- Machine learning algorithms -- Neural networks : the theory -- Neural networks : applications -- Hidden Markov models: the theory -- Hidden Markov models: applications -- Probabilistic graphical models in bioinformatics -- Probabilistic models of evolution : phylogenitc trees -- Stochastic grammars and linguistics -- Microarrays and gene expression -- Internet resources and public databases.
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574.028 BAL (Browse shelf) Available 144718

"A Bradford book."

Includes bibliographical references (pages 409-445).

Introduction -- Machine-learning foundations : the probabilistic framework -- Probabilistic modeling and inference : examples -- Machine learning algorithms -- Neural networks : the theory -- Neural networks : applications -- Hidden Markov models: the theory -- Hidden Markov models: applications -- Probabilistic graphical models in bioinformatics -- Probabilistic models of evolution : phylogenitc trees -- Stochastic grammars and linguistics -- Microarrays and gene expression -- Internet resources and public databases.

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