Cost-sensitive machine learning
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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Boca Raton, Fla. :
CRC Press
c2012.
Boca Raton, Fla. : 2012. |
| Edition: | 1st edition |
| Series: | Chapman & Hall/CRC machine learning & pattern recognition series.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628717406719 |
| 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 |
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| Item Description: | "A Chapman & Hall book." |
| Physical Description: | 1 online resource (316 p.) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9780429106507 9781439839287 |
