Main Title |
The elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations / |
Author |
Hastie, Trevor.
|
Other Authors |
|
Publisher |
Springer, |
Year Published |
2001 |
OCLC Number |
46809224 |
ISBN |
0387952845; 9780387952840 |
Subjects |
Supervised learning (Machine learning) ;
Analyse des donnes ;
Méthodes statistiques ;
Acquisition de connaissances ;
Modèles ;
Statistics
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ELBM |
Q325.75.H37 2001 |
|
AWBERC Library/Cincinnati,OH |
06/14/2023 |
|
Collation |
xvi, 533 pages : color illustrations ; 25 cm |
Notes |
Includes bibliographical references (pages 509-522) and indexes. |
Contents Notes |
Introduction -- Overview of supervised learning -- Linear methods of regression -- Linear methods for classification -- Basis expansions and regularization -- Kernel methods -- Model assessment and selection -- Model interference and averaging -- Additive methods, trees and related methods -- Boosting and additive trees -- Neural networks -- Support vector machines and flexible discriminants -- Prototype methods and nearest-neighbors -- Unsupervised learning. Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines. |
Place Published |
New York |
Title Ser Add Ent |
Springer series in statistics. |
PUB Date Free Form |
©2001 |
Series Title Untraced |
Springer series in statistics |
BIB Level |
m |
Medium |
unmediated |
Content |
text |
Carrier |
volume |
Cataloging Source |
OCLC/T |
LCCN |
2001031433 |
Merged OCLC records |
50664298; 1022664363; 1058566598; 1083423997; 1086743273; 1110320378 |
OCLC Time Stamp |
20230608002628 |
Language |
eng |
Origin |
OCLC |
Type |
CAT |
OCLC Rec Leader |
03509cam 22006614a 45010 |