The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman
Language: eng.Country: US - United States of America.Edition Statement: 2nd edPublication: New York : Springer, cop. 2009Description: XXII, 745 p. : il. ; 25 cmISBN: 978-0-387-84857-0.Series: Springer Series in StatisticsSubject - Topical Name: 5135| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
| Monografia | Biblioteca NOVA FCT Sala verde/Piso 1 | Não Ficção | Q325.5.HAS FCT 71831 (Browse shelf(Opens below)) | 1 | Available | 0056921 |
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| Q325.5.COM FCT 31926 Computational learning and probabilistic reasoning | Q325.5.CRI FCT 54359 An introduction to support vector machines and other kernel-based learning methods | Q325.5.GEN FCT 27770 Genetic algorithms for machine learning | Q325.5.HAS FCT 71831 The elements of statistical learning, data mining, inference, and prediction | Q325.5.HUT FCT 34160 Algorithmic learning | Q325.5.KEA FCT 29783 An introduction to computational learning theory | Q325.5.KNO FCT 25553 Generating abstraction hierarchies, an automated approach to reducing search in planning |
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