Cost-sensitive machine learning /

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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/att...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Krishnapuram, Balaji, Yu, Shipeng, Rao, Bharat
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, ©2012.
Colección:Chapman & Hall/CRC machine learning & pattern recognition series.
Temas:
Machine learning > Cost effectiveness.
Apprentissage automatique > Coût-efficacité.
COMPUTERS > Enterprise Applications > Business Intelligence Tools.
COMPUTERS > Intelligence (AI) & Semantics.
Machine learning
Acceso en línea:Texto completo
Texto completo
Descripción
Sumario: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.
Descripción Física:1 online resource : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9781439839287
143983928X
9781466548176
1466548177

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