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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 7th European Conference, EvoBIO 2009 Tubingen, Germany, April 15-17, 2009 Proceedings - Julian Weber
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 7th European Conference, EvoBIO 2009 Tubingen, Germany, April 15-17, 2009 Proceedings - nouveau livre

2009, ISBN: 9783642011849

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tubinge… Plus…

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - nouveau livre

2009, ISBN: 9783642011849

This book constitutes the refereed proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2009, held in Tübinge… Plus…

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics - nouveau livre

2009

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 7th European Conference, EvoBIO 2009 Tubingen, Germany, April 15-17, 2009 Proceedings - Klaus Mainzer
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics : 7th European Conference, EvoBIO 2009 Tubingen, Germany, April 15-17, 2009 Proceedings - nouveau livre

2009, ISBN: 9783642011849

; PDF; Scientific, Technical and Medical > Biology, life sciences > Life sciences: general issues, Springer Berlin Heidelberg

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Evolutionary Computation Machine Learning and Data Mining in Bioinformatics
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Titre:
ISBN:

9783642011849

Informations détaillées sur le livre - Evolutionary Computation Machine Learning and Data Mining in Bioinformatics


EAN (ISBN-13): 9783642011849
ISBN (ISBN-10): 3642011845
Date de parution: 2009
Editeur: Springer-Verlag GmbH
12 Pages
Langue: eng/Englisch

Livre dans la base de données depuis 2011-09-17T20:38:57+02:00 (Zurich)
Page de détail modifiée en dernier sur 2024-01-16T16:46:36+01:00 (Zurich)
ISBN/EAN: 9783642011849

ISBN - Autres types d'écriture:
3-642-01184-5, 978-3-642-01184-9
Autres types d'écriture et termes associés:
Auteur du livre: ritchie, mainzer klaus, berlin
Titre du livre: data mining, tübingen, bioinformatics, machine learning, tubingen

Données de l'éditeur

Auteur: Clara Pizzuti; Marylyn D. Ritchie; Mario Giacobini
Titre: Theoretical Computer Science and General Issues; Lecture Notes in Computer Science; Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics - 7th European Conference, EvoBIO 2009 Tübingen, Germany, April 15-17, 2009 Proceedings
Editeur: Springer; Springer Berlin
203 Pages
Date de parution: 2009-04-10
Berlin; Heidelberg; DE
Langue: Anglais
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XII, 203 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Computerprogrammierung und Softwareentwicklung; Verstehen; Microarray; bioinformatics; biology; data mining; learning; machine learning; modeling; sequence analysis; simulation; algorithm analysis and problem complexity; C; Programming Techniques; Theory of Computation; Algorithms; Computational and Systems Biology; Automated Pattern Recognition; Artificial Intelligence; Computer Science; Theoretische Informatik; Algorithmen und Datenstrukturen; DV-gestützte Biologie/Bioinformatik; Mustererkennung; Künstliche Intelligenz; BC

Association Study between Gene Expression and Multiple Relevant Phenotypes with Cluster Analysis.- Gaussian Graphical Models to Infer Putative Genes Involved in Nitrogen Catabolite Repression in S. cerevisiae.- Chronic Rat Toxicity Prediction of Chemical Compounds Using Kernel Machines.- Simulating Evolution of Drosophila Melanogaster Ebony Mutants Using a Genetic Algorithm.- Microarray Biclustering: A Novel Memetic Approach Based on the PISA Platform.- F-score with Pareto Front Analysis for Multiclass Gene Selection.- A Hierarchical Classification Ant Colony Algorithm for Predicting Gene Ontology Terms.- Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks.- Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease.- On the Efficiency of Local Search Methods for the Molecular Docking Problem.- A Comparison of Genetic Algorithms and Particle Swarm Optimization for Parameter Estimation in Stochastic Biochemical Systems.- Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets.- Evolutionary Approaches for Strain Optimization Using Dynamic Models under a Metabolic Engineering Perspective.- Clustering Metagenome Short Reads Using Weighted Proteins.- A Memetic Algorithm for Phylogenetic Reconstruction with Maximum Parsimony.- Validation of a Morphogenesis Model of Drosophila Early Development by a Multi-objective Evolutionary Optimization Algorithm.- Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification.
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