Linear Methods for Classification (English)
- New search for: Hastie, Trevor
- New search for: Friedman, Jerome
- New search for: Tibshirani, Robert
- New search for: Hastie, Trevor
- New search for: Friedman, Jerome
- New search for: Tibshirani, Robert
In:
The Elements of Statistical Learning
;
79-113
;
2001
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ISSN:
- Article/Chapter (Book) / Electronic Resource
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Title:Linear Methods for Classification
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Contributors:
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Published in:The Elements of Statistical Learning ; 79-113Springer Series in Statistics ; 79-113
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Publisher:
- New search for: Springer New York
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Place of publication:New York, NY
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Publication date:2001-01-01
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Size:35 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
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