Cost-sensitive machine learning / edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao.

Format:

Book

Contributor:

Krishnapuram, Balaji.

Yu, Shipeng.

Rao, Bharat.

Series:

Chapman & Hall/CRC machine learning & pattern recognition series.

Chapman & Hall/CRC machine learning & pattern recognition series

Language:

English

Subjects (All):

Machine learning--Cost effectiveness.

Machine learning.

Physical Description:

1 online resource (316 p.)

Edition:

1st edition

Other Title:

Cost sensitive machine learning

Place of Publication:

Boca Raton, Fla. : CRC Press, c2012.

Boca Raton, Fla. : CRC Press, 2012.

Language Note:

English

System Details:

text file

Summary:

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collectionCost of incorrect prediction/classificationCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost o

Contents:

pt. 1. Theoretical underpinnings of cost-sensitive machine learning

pt. 2. Cost-sensitive machine learning applications.

Notes:

"A Chapman & Hall book."

Includes bibliographical references.

Description based on metadata supplied by the publisher and other sources.

ISBN:

1-04-022162-9

0-429-10650-5

1-4398-3928-X

9780429106507

OCLC:

899154945