Cost-sensitive machine learning
by Krishnapuram, Balaji Rao, Bharat Yu, Shipeng
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 researc…
Read More ↓Title Statements
- Full title :Cost-sensitive machine learning / edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao.
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.
Read More ↓Edition Statements
- Publication Date:c2012.
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton, Fla
- Language:eng
- Publication Date:c2012.
The Physical Object
- Description:Online-Ressource (xviii, 295 p.)
Edition Identifiers
- ISBN:9781439839256, 1439839255
- oclc:on1047831658
- LC Classification:Q325.5.C68 2012
- Dewey Decimal:006.31
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