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Feature Selection Ensemble Methods by Okun Oleg (12 results)
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Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations
Published by Medical Info Science Reference, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Feature Selection and Ensemble Methods for Bioinformatics
Published by Idea Group Publishing, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Condition: New. pp. 460.
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Feature Selection and Ensemble Methods for Bioinformatics
Published by Idea Group Publishing, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Condition: New. pp. 460 68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam.
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Feature Selection and Ensemble Methods for Bioinformatics
Published by Idea Group Publishing, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Condition: New. pp. 460.
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Hardcover. Condition: Like New. Like New. Ships from Multiple Locations. book.
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Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations
Published by Medical Info Science Reference, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Condition: New.
-
Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations
Published by Medical Info Science Reference, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Feature Selection and Ensemble Methods for Bioinformatics Algorithmic Classification and Implementations
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Feature Selection and Ensemble Methods for Bioinformatics: Algorithmic Classification and Implementations
Published by Medical Information Science Reference, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 resear.
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Feature Selection and Ensemble Methods for Bioinformatics | Algorithmic Classification and Implementations
Published by Medical Information Science Reference, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Buch. Condition: Neu. Feature Selection and Ensemble Methods for Bioinformatics | Algorithmic Classification and Implementations | Oleg Okun | Buch | Gebunden | Englisch | 2011 | Medical Information Science Reference | EAN 9781609605575 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Feature Selection and Ensemble Methods for Bioinformatics : Algorithmic Classification and Implementations
Published by Medical Information Science Reference, 2011
ISBN 10: 1609605578 ISBN 13: 9781609605575
Language: English
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
