The elements of statistical learning : data mining, inference, and prediction

所蔵情報QRコード

The elements of statistical learning : data mining, inference, and prediction / Trevor Hastie, Robert Tibshirani, Jerome Friedman

版:

2nd ed

資料種別:

図書

出版情報:

New York : Springer, c2009

形態:

xxii, 745 p. ; 25 cm

シリーズ名:

Springer series in statistics <BA00018600>

著者名:

ISBN:

9780387848570 [0387848576] (: [hard])

書誌ID:

BA89336082

子書誌情報

フルテキスト

所蔵情報

他の版・巻

書誌詳細

注記:

Includes bibliographical references and indexes

主題:

Supervised learning (Machine learning)

言語:

英語

目次情報:

Introduction

Overview of supervised learning

Linear methods for regression

Linear methods for classification

Basis expansions and regularization

Kernel smoothing methods

Model assessment and selection

Model inference and averaging

Additive models, trees, and related methods

Boosting and additive trees

Neural networks

Support vector machines and flexible discriminants

Prototype methods and nearest-neighbors

Unsupervised learning

Introduction

Overview of supervised learning

Linear methods for regression

Linear methods for classification

Basis expansions and regularization

Kernel smoothing methods

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