Cargando…
An elementary introduction to statistical learning theory /
"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 t...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, N.J. :
Wiley,
©2011.
|
| Colección: | Wiley series in probability and statistics.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_ocn729724626 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 110609s2011 njua ob 001 0 eng d | ||
| 010 | |z 2010045223 | ||
| 040 | |a DG1 |b eng |e pn |c DG1 |d IDEBK |d YDXCP |d E7B |d CDX |d OCLCQ |d COD |d N$T |d OCLCQ |d DEBSZ |d OCLCQ |d OCLCA |d UKDOC |d OCLCQ |d RIV |d NLGGC |d OCLCQ |d OCLCF |d DEBBG |d OCLCQ |d COO |d OCLCQ |d AGLDB |d OCLCQ |d TOA |d DG1 |d CHVBK |d OCLCQ |d MERER |d LIP |d ZCU |d OCLCQ |d MERUC |d OCLCQ |d JBG |d OCLCO |d U3W |d OCLCQ |d VNS |d OCLCQ |d VTS |d ICG |d INT |d REC |d OCLCQ |d WYU |d OCLCQ |d STF |d OCLCO |d OCLCQ |d DKC |d OCLCO |d OCLCQ |d OCLCO |d OCLCA |d M8D |d OCLCO |d UX1 |d OCLCQ |d OCLCA |d AJS |d QGK |d OCLCO |d OCLCQ |d OCL |d OCLCO |d OCLCQ |d OCLCL | ||
| 019 | |a 726329153 |a 732956377 |a 741451118 |a 754717771 |a 778448327 |a 816840042 |a 992839644 |a 1063955162 |a 1259098418 | ||
| 020 | |a 9781118023471 |q (electronic bk.) | ||
| 020 | |a 1118023471 |q (electronic bk.) | ||
| 020 | |a 9781118023433 |q (e-book) | ||
| 020 | |a 1118023439 |q (e-book) | ||
| 020 | |a 1283098687 | ||
| 020 | |a 9781283098687 | ||
| 020 | |z 9780470641835 | ||
| 020 | |z 9781118023464 |q (ePub) | ||
| 020 | |z 0470641835 | ||
| 020 | |z 1118023463 | ||
| 020 | |a 9786613098689 | ||
| 020 | |a 661309868X | ||
| 029 | 1 | |a AU@ |b 000047226102 | |
| 029 | 1 | |a AU@ |b 000047551214 | |
| 029 | 1 | |a AU@ |b 000051561706 | |
| 029 | 1 | |a AU@ |b 000058376262 | |
| 029 | 1 | |a AU@ |b 000060532241 | |
| 029 | 1 | |a CHNEW |b 000937773 | |
| 029 | 1 | |a CHVBK |b 480180806 | |
| 029 | 1 | |a DEBBG |b BV041910322 | |
| 029 | 1 | |a DEBBG |b BV042961309 | |
| 029 | 1 | |a DEBBG |b BV043393145 | |
| 029 | 1 | |a DEBBG |b BV044154586 | |
| 029 | 1 | |a DEBSZ |b 37272938X | |
| 029 | 1 | |a DEBSZ |b 372734472 | |
| 029 | 1 | |a DEBSZ |b 396995543 | |
| 029 | 1 | |a DEBSZ |b 421528567 | |
| 029 | 1 | |a DEBSZ |b 430992661 | |
| 029 | 1 | |a DEBSZ |b 449241793 | |
| 029 | 1 | |a HEBIS |b 299829545 | |
| 029 | 1 | |a NZ1 |b 13751530 | |
| 029 | 1 | |a NZ1 |b 14256865 | |
| 029 | 1 | |a NZ1 |b 15341319 | |
| 035 | |a (OCoLC)729724626 |z (OCoLC)726329153 |z (OCoLC)732956377 |z (OCoLC)741451118 |z (OCoLC)754717771 |z (OCoLC)778448327 |z (OCoLC)816840042 |z (OCoLC)992839644 |z (OCoLC)1063955162 |z (OCoLC)1259098418 | ||
| 037 | |a 10.1002/9781118023471 |b Wiley InterScience |n http://www3.interscience.wiley.com | ||
| 050 | 4 | |a Q325.5 |b .K85 2011 | |
| 060 | 4 | |a Q 325.5 | |
| 072 | 7 | |a COM |x 005030 |2 bisacsh | |
| 072 | 7 | |a COM |x 004000 |2 bisacsh | |
| 082 | 0 | 4 | |a 006.3/1 |2 22 |
| 084 | |a ST 300 |2 rvk | ||
| 049 | |a UAMI | ||
| 100 | 1 | |a Kulkarni, Sanjeev. | |
| 245 | 1 | 3 | |a An elementary introduction to statistical learning theory / |c Sanjeev Kulkarni, Gilbert Harman. |
| 260 | |a Hoboken, N.J. : |b Wiley, |c ©2011. | ||
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Wiley series in probability and statistics | |
| 505 | 0 | |a 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. | |
| 520 | |a "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 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 546 | |a English. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Machine learning |x Statistical methods. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Statistics. | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 2 | |a Pattern Recognition, Automated | |
| 650 | 2 | |a Statistics as Topic | |
| 650 | 6 | |a Apprentissage automatique |x Méthodes statistiques. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Statistiques. | |
| 650 | 6 | |a Statistique. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a statistics. |2 aat | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Statistics |2 fast | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Machine learning |x Statistical methods |2 fast | |
| 650 | 7 | |a Pattern recognition systems |2 fast | |
| 650 | 7 | |a Maschinelles Lernen |2 gnd | |
| 650 | 7 | |a Statistik |2 gnd | |
| 655 | 4 | |a Llibres electrònics. | |
| 700 | 1 | |a Harman, Gilbert. | |
| 758 | |i has work: |a An elementary introduction to statistical learning theory (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFTkt9bcKWpWdGrwPcgHqP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Kulkarni, Sanjeev. |t Elementary introduction to statistical learning theory. |d Hoboken, N.J. : Wiley, ©2011 |z 9781118023471 |w (OCoLC)726329153 |
| 830 | 0 | |a Wiley series in probability and statistics. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=697570 |z Texto completo |
| 938 | |a 123Library |b 123L |n 17475 | ||
| 938 | |a Coutts Information Services |b COUT |n 17892373 |c 66.50 GBP | ||
| 938 | |a ebrary |b EBRY |n ebr10466734 | ||
| 938 | |a EBSCOhost |b EBSC |n 391376 | ||
| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n 309868 | ||
| 938 | |a YBP Library Services |b YANK |n 3588129 | ||
| 938 | |a YBP Library Services |b YANK |n 3537900 | ||
| 938 | |a YBP Library Services |b YANK |n 5413353 | ||
| 994 | |a 92 |b IZTAP | ||