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20200709135719.0 |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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110609s2011 njua ob 001 0 eng d |
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DG1 |
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eng |
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pn |
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726329153 |
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732956377 |
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741451118 |
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754717771 |
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778448327 |
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816840042 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781118023471 |
| Qualifying information |
(electronic bk.) |
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| International Standard Book Number |
1118023471 |
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(electronic bk.) |
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| International Standard Book Number |
9781118023433 |
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(e-book) |
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| International Standard Book Number |
1118023439 |
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(e-book) |
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| International Standard Book Number |
1283098687 |
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| International Standard Book Number |
9781283098687 |
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9780470641835 |
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9781118023464 |
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(ePub) |
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0470641835 |
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1118023463 |
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299829545 |
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13751530 |
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(OCoLC)729724626 |
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(OCoLC)726329153 |
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(OCoLC)732956377 |
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(OCoLC)741451118 |
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(OCoLC)754717771 |
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(OCoLC)778448327 |
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(OCoLC)816840042 |
| 037 ## - |
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10.1002/9781118023471 |
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Wiley InterScience |
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http://www3.interscience.wiley.com |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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Q325.5 |
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.K85 2011 |
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Q 325.5 |
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COM |
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005030 |
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COM |
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004000 |
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bisacsh |
| 082 04 - |
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| Classification number |
006.3/1 |
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22 |
| 049 ## - |
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MAIN |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Kulkarni, Sanjeev. |
| 245 13 - TITLE STATEMENT |
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| Title |
An elementary introduction to statistical learning theory / |
| Statement of responsibility, etc |
Sanjeev Kulkarni, Gilbert Harman. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 online resource (1 volume) : |
| Other physical details |
illustrations. |
| 505 0# - |
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| Formatted contents note |
Introduction: Classification, Learning, Features, and Applications -- Probability -- Probability Densities -- The Pattern Recognition Problem -- The Optimal Bayes Decision Rule -- Learning from Examples -- The Nearest Neighbor Rule -- Kernel Rules -- Neural Networks: Perceptrons -- Multilayer Networks -- PAC Learning -- VC Dimension -- Infinite VC Dimension -- The Function Estimation Problem -- Learning Function Estimation -- Simplicity -- Support Vector Machines -- Boosting. |
| 650 #0 - |
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| Topical term or geographic name as entry element |
Machine learning |
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| Topical term or geographic name as entry element |
Pattern recognition systems. |
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| Topical term or geographic name as entry element |
Artificial Intelligence. |
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| Topical term or geographic name as entry element |
Pattern Recognition, Automated. |
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| Topical term or geographic name as entry element |
Statistics as Topic. |
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| Topical term or geographic name as entry element |
Aprenentatge automàtic |
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| Topical term or geographic name as entry element |
Reconeixement de formes (Informàtica) |
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| Topical term or geographic name as entry element |
COMPUTERS |
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| Topical term or geographic name as entry element |
COMPUTERS |
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| Topical term or geographic name as entry element |
Machine learning |
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| Topical term or geographic name as entry element |
Pattern recognition systems. |
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| Topical term or geographic name as entry element |
Maschinelles Lernen. |
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| Topical term or geographic name as entry element |
Statistik. |
| 700 1# - |
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| Personal name |
Harman, Gilbert. |
| 710 2# - |
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| Corporate name or jurisdiction name as entry element |
Wiley InterScience (Online service) |
| 856 40 - |
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| Uniform Resource Identifier |
https://doi.org/10.1002/9781118023471 |
| 264 #1 - |
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Hoboken, N.J. : |
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Wiley, |
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[2011] |
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©2011 |
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text |
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txt |
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rdacontent |
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computer |
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c |
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rdamedia |
| 338 ## - |
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online resource |
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cr |
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rdacarrier |
| 490 1# - |
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Wiley series in probability and statistics |
| 520 ## - |
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"A joint endeavor from leading researchers in the fields of philosophy and electrical engineering An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly evolving field of statistical pattern recognition and statistical learning theory. Exploring topics that are not often covered in introductory level books on statistical learning theory, including PAC learning, VC dimension, and simplicity, the authors present upper-undergraduate and graduate levels with the basic theory behind contemporary machine learning and uniquely suggest it serves as an excellent framework for philosophical thinking about inductive inference"--Back cover. |
| 504 ## - |
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Includes bibliographical references and index. |
| 588 0# - |
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Print version record. |
| 650 #0 - |
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Statistical methods. |
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Mètodes estadístics. |
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Enterprise Applications |
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Business Intelligence Tools. |
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bisacsh |
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Intelligence (AI) & Semantics. |
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bisacsh |
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Statistical methods. |
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fast |
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(OCoLC)fst01004801 |
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fast |
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(OCoLC)fst01055266 |
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(DE-588c)4193754-5 |
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swd |
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(DE-588c)4056995-0 |
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swd |
| 655 #4 - |
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Llibres electrònics. |
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Electronic books. |
| 776 08 - |
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Print version: |
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Kulkarni, Sanjeev. |
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Elementary introduction to statistical learning theory. |
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Hoboken, N.J. : Wiley, ©2011 |
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9781118023471 |
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(OCoLC)726329153 |
| 830 #0 - |
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Wiley series in probability and statistics. |
| 856 40 - |
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Wiley Online Library |
| 994 ## - |
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92 |
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DG1 |
