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| Titolo: |
Cost-sensitive machine learning / / edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao
|
| Pubblicazione: | Boca Raton, Fla., : CRC Press, c2012 |
| Boca Raton, Fla. : , : CRC Press, , 2012 | |
| Edizione: | 1st edition |
| Descrizione fisica: | 1 online resource (316 p.) |
| Disciplina: | 006.31 |
| Soggetto topico: | Machine learning - Cost effectiveness |
| Altri autori: |
KrishnapuramBalaji
YuShipeng
RaoBharat
|
| Note generali: | "A Chapman & Hall book." |
| Nota di bibliografia: | Includes bibliographical references. |
| Nota di contenuto: | pt. 1. Theoretical underpinnings of cost-sensitive machine learning -- pt. 2. Cost-sensitive machine learning applications. |
| Sommario/riassunto: | 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 |
| Altri titoli varianti: | Cost sensitive machine learning |
| Titolo autorizzato: | Cost-sensitive machine learning ![]() |
| ISBN: | 1-04-022162-9 |
| 0-429-10650-5 | |
| 1-4398-3928-X | |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910954894103321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |