000 | 01080 a2200337 4500 | ||
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001 | 25981 | ||
999 |
_c25981 _d12411 |
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003 | TR-AnTOB | ||
005 | 20201218113243.0 | ||
008 | 060501s1999 maua b 00110 eng | ||
010 | _a98040302 | ||
020 | _a0262194163 (alk. paper) | ||
035 | _a(DLC) 98040302 | ||
040 |
_aDLC _cDLC _dDLC |
||
041 | _aeng | ||
050 | 0 |
_aQ325.5 _b.A32 1999 |
|
090 | _aQ325.5 .A32 1999 | ||
245 | 0 |
_aAdvances in kernel methods : _bsupport vector learning / _cedited by Bernhard Schölkopf, Christopher J.C. Burges, Alexander J. Smola. |
|
264 | 1 |
_aCambridge, Mass. : _bMIT Press, _cc1999. |
|
300 |
_avii, 376 p. : _bill. ; _c26 cm. |
||
504 | _aIncludes bibliographical references (p. [353]-371) and index. | ||
650 | 0 |
_aKernel functions _923046 |
|
650 |
_aMachine learning _9738 |
||
650 |
_aAlgorithms _91357 |
||
700 |
_aSchölkopf, Bernhard _923047 |
||
700 |
_aBurges, Christopher J. C. _923048 |
||
700 |
_aSmola, Alexander J. _923049 |
||
902 | _a0014384 | ||
906 |
_a7 _bcbc _corignew _d1 _eocip _f19 _gy-gencatlg |
||
942 | _cBK |