| 000 | 01591n a2200421#a 4500 | ||
|---|---|---|---|
| 001 | 32432 | ||
| 003 | P5A | ||
| 005 | 20240404163631.0 | ||
| 008 | 970822s1998 nyua b 001 0 eng|| | ||
| 010 | _a97037075 | ||
| 015 | _aGB98-74066 | ||
| 020 | _a0471030031 (acid-free paper) | ||
| 020 | _a9780471030034 (acid-free paper) | ||
| 035 |
_a(OCoLC)37567297 _z(OCoLC)40180868 |
||
| 035 | _a(OCoLC | ||
| 040 |
_aDLC _cDLC _dUKM _dLVB _dBAKER _dNLGGC _dBTCTA _dYDXCP _dTBS _dUQ1 _dDMF |
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| 082 | 0 | 0 |
_a519.5 _bV286s |
| 084 |
_a54.72 _2bcl |
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| 090 | _ama2 | ||
| 100 | 1 |
_aVapnik, Vladimir Naumovich _946397 |
|
| 245 | 1 | 0 |
_aStatistical learning theory/ _cVladimir N. Vapnik. |
| 260 |
_aNew York: _bWiley, _cc1998. |
||
| 300 |
_axxiv, 736 p.: _bill.; _c25 cm. |
||
| 500 | _a"A Wiley-Interscience publication." | ||
| 504 | _aIncludes bibliographical references (p. 723-732) and index. | ||
| 650 | 0 | 0 |
_aComputational learning theory. _92449 |
| 650 | 0 | 6 |
_aApprentissage informatique, Theorie de l'. _92997 |
| 650 | 1 | 7 |
_aMachine-learning. _2gtt _92375 |
| 650 | 1 | 7 |
_aTheorie de l'apprentissage informatique _2rasuqam _92998 |
| 650 | 0 | 7 |
_aAspect strategique _2rasuqam _92999 |
| 650 | 0 | 7 |
_aTheorie de l'estimation _2rasuqam _93000 |
| 650 | 0 | 7 |
_aFonction vectorielle _2rasuqam _93001 |
| 697 |
_aMatemática Aplicada 02- _xProbabilidade e EstatÃstica. _923729 |
||
| 856 | 4 |
_3Table of Contents _uhttp://www.loc.gov/catdir/toc/onix02/97037075.html |
|
| 942 |
_2impa _cBK |
||
| 999 |
_c31418 _d31418 |
||
| 490 | 0 |
_aAdaptive and learning systems for signal processing, communications, and control _92996 |
|