| Record ID | ia:natureofstatisti0000vapn |
| Source | Internet Archive |
| Download MARC XML | https://archive.org/download/natureofstatisti0000vapn/natureofstatisti0000vapn_marc.xml |
| Download MARC binary | https://www.archive.org/download/natureofstatisti0000vapn/natureofstatisti0000vapn_meta.mrc |
LEADER: 01499cam 2200337Mi 4500
001 ocn758956496
003 OCoLC
005 20130703120724.0
008 110204s2010 xxua f b 001 0 eng d
040 $aZWZ$encafnor$bfre$cZWZ
020 $a9781441931603 (br)
020 $a1441931600 (br)
035 $a(OCoLC)758956496
041 0 $aeng$feng
082 04 $a006.310$222
084 $aG.3.$2acm
100 1 $aVapnik, Vladimir Naoumovitch.$eAuteur.
245 14 $aThe nature of statistical learning theory$h[Texte imprime ] /$cVladimir N. Vapnik.
250 $a2nd edition.
260 $aNew York :$bSpringer,$ccop. 2010.
300 $a1 vol. (XIX-314 p.) :$bill. ;$c24 cm.
490 0 $aStatistics for engineering and information science
500 $aPorte la mention :"With 50 illustrations"
504 $aBibliogr. p. [301]-309. Index.
520 $aThe aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques.
650 7 $aApprentissage automatique$xMe thodes statistiques.$2ram
650 7 $aMode les stochastiques d'apprentissage.$2ram
830 0 $aStatistics for engineering and information science.
029 0 $aZWZ$b149826885
994 $aZ0$bPMR
948 $hNO HOLDINGS IN PMR - 3 OTHER HOLDINGS