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

Okun, Oleg

Rilegato

ISBN 10: 1609605578 ISBN 13: 9781609605575

Casa editrice: Medical Info Science Reference, 2011

Riassunto

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.

Su questo libro

Product Description

Book by Oleg Okun

Dettagli dell?edizione

• Editore: Medical Info Science Reference
• Data di pubblicazione: 2011
• ISBN 10: 1609605578
• ISBN 13: 9781609605575
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero di pagine: 445
• Contatto del produttore: non disponibile