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Record Nr. |
UNINA9910799907903321 |
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Titolo |
Cost-sensitive machine learning / / edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao |
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Pubbl/distr/stampa |
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Boca Raton, Fla. : , : CRC Press, , 2012 |
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ISBN |
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0-429-10650-5 |
1-4398-3928-X |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (316 p.) |
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Collana |
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Chapman & Hall/CRC machine learning & pattern recognition series |
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Altri autori (Persone) |
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KrishnapuramBalaji |
YuShipeng |
RaoBharat |
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Disciplina |
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Soggetti |
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Machine learning - Cost effectiveness |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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pt. 1. Theoretical underpinnings of cost-sensitive machine learning -- pt. 2. Cost-sensitive machine learning applications. |
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Sommario/riassunto |
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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/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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