The elements of statistical learning : [electronic resource] data mining, inference, and prediction /
Hastie, Trevor
The elements of statistical learning : data mining, inference, and prediction / [electronic resource] Trevor Hastie, Robert Tibshirani, Jerome Friedman. - Second edition - New York, : Springer, 2009 - 1 online resource : illustrations
Includes bibliographical references (p. [699]-727) and index
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 -- Random Forests -- Ensemble Learning -- Undirected Graphical Models -- High-Dimensional Problems: p ≫ N
9780387848587 (E-book)
MACHINE LEARNING
STATISTICS--METHODOLOGY
DATA MINING
BIOINFORMATICS
INFERENCE
FORECASTING
COMPUTATIONAL INTELLIGENCE
Q 325.5 / H37E 2009
The elements of statistical learning : data mining, inference, and prediction / [electronic resource] Trevor Hastie, Robert Tibshirani, Jerome Friedman. - Second edition - New York, : Springer, 2009 - 1 online resource : illustrations
Includes bibliographical references (p. [699]-727) and index
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 -- Random Forests -- Ensemble Learning -- Undirected Graphical Models -- High-Dimensional Problems: p ≫ N
9780387848587 (E-book)
MACHINE LEARNING
STATISTICS--METHODOLOGY
DATA MINING
BIOINFORMATICS
INFERENCE
FORECASTING
COMPUTATIONAL INTELLIGENCE
Q 325.5 / H37E 2009