The Elements of Statistical Learning : Data Mining, Inference, and Prediction (English)
- New search for: Hastie, Trevor
- Further information on Hastie, Trevor:
- http://d-nb.info/gnd/172128242
- New search for: Hastie, Trevor
- Further information on Hastie, Trevor:
- http://d-nb.info/gnd/172128242
- New search for: Friedman, Jerome H.
- Further information on Friedman, Jerome H.:
- http://d-nb.info/gnd/134071484
- New search for: Tibshirani, Robert
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2001
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ISBN:
- Book / Electronic Resource
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Title:The Elements of Statistical Learning : Data Mining, Inference, and Prediction
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Contributors:
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Published in:
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Publisher:
- New search for: Springer
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Place of publication:New York, NY
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Publication date:2001
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Size:Online-Ressource (XVI, 536 p, online resource)
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Remarks:Campusweiter Zugriff (Universität Hannover). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.
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ISBN:
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Type of media:Book
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Type of material:Electronic Resource
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Language:English
- New search for: 519.5
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DDC: 519.5 -
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Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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IntroductionHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 9
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Overview of Supervised LearningHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 41
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Linear Methods for RegressionHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 79
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Linear Methods for ClassificationHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 115
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Basis Expansions and RegularizationHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 165
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Kernel MethodsHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 193
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Model Assessment and SelectionHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 225
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Model Inference and AveragingHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 257
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Additive Models, Trees, and Related MethodsHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 299
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Boosting and Additive TreesHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 347
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Neural NetworksHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 371
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Support Vector Machines and Flexible DiscriminantsHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 411
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Prototype Methods and Nearest-NeighborsHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001
- 437
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Unsupervised LearningHastie, Trevor / Friedman, Jerome / Tibshirani, Robert et al. | 2001