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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
©2012.
|
| Colección: | Chapman & Hall/CRC machine learning & pattern recognition series.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a Cost-sensitive machine learning / |c edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao. |
| 260 | |a Boca Raton, FL : |b CRC Press, |c ©2012. | ||
| 300 | |a 1 online resource : |b illustrations | ||
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| 490 | 1 | |a Chapman & Hall/CRC machine learning & pattern recognition series | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | |a pt. 1. Theoretical underpinnings of cost-sensitive machine learning -- pt. 2. Cost-sensitive machine learning applications. | |
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning |x Cost effectiveness. | |
| 650 | 6 | |a Apprentissage automatique |x Coût-efficacité. | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Machine learning |2 fast | |
| 700 | 1 | |a Krishnapuram, Balaji. | |
| 700 | 1 | |a Yu, Shipeng. | |
| 700 | 1 | |a Rao, Bharat. | |
| 776 | 0 | 8 | |i Print version: |t Cost-sensitive machine learning. |d Boca Raton, FL : CRC Press, ©2012 |z 9781439839256 |w (DLC) 2011284986 |w (OCoLC)495781185 |
| 830 | 0 | |a Chapman & Hall/CRC machine learning & pattern recognition series. | |
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