Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations - Couverture rigide

Okun, Oleg

 
9781609605575: Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations
Couverture rigide
ISBN 10 : 1609605578 ISBN 13 : 9781609605575
Editeur : Medical Information Science Reference, 2011

Synopsis

Machine learning is the branch of artificial intelligence whose goal is to develop algorithms that add learning capabilities to computers. Ensembles are an integral part of machine learning. A typical ensemble includes several algorithms performing the task of prediction of the class label or the degree of class membership for a given input presented as a set of measurable characteristics, often called features. Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations offers a unique perspective on machine learning aspects of microarray gene expression based cancer classification. This multidisciplinary text is at the intersection of computer science and biology and, as a result, can be used as a reference book by researchers and students from both fields. Each chapter describes the process of algorithm design from beginning to end and aims to inform readers of best practices for use in their own research.

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Éditeur
Medical Information Science Reference
Date d'édition
2011
Langue
anglais
ISBN 10 
1609605578
ISBN 13 
9781609605575
Reliure
Relié
Nombre de pages
460
Coordonnées du fabricant
non disponible
Personne responsable
non disponible