The Elements of Statistical Learning - Springer Series in Statistics
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9780387848570, 9780387848587
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Random Forests

2008 ◽  
pp. 587-604 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman
Keyword(s):  
Random Forests

Overview of Supervised Learning

2008 ◽  
pp. 9-41 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman
Keyword(s):  
Supervised Learning

Model Assessment and Selection

2008 ◽  
pp. 1-41 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman
Keyword(s):  
Model Assessment

Kernel Smoothing Methods

2008 ◽  
pp. 1-28 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman
Keyword(s):  
Kernel Smoothing ◽  
Smoothing Methods

Linear Methods for Regression

2008 ◽  
pp. 1-57 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman

Undirected Graphical Models

2008 ◽  
pp. 1-24
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman
Keyword(s):  
Graphical Models

Boosting and Additive Trees

2008 ◽  
pp. 1-51 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman
Keyword(s):  
Additive Trees

Linear Methods for Classification

2008 ◽  
pp. 1-37 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman

Ensemble Learning

2008 ◽  
pp. 605-624 ◽  
Author(s):  
Trevor Hastie ◽  
Robert Tibshirani ◽  
Jerome Friedman
Keyword(s):  
Ensemble Learning
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