| 000 | 01245nam a2200301 a 4500 | ||
|---|---|---|---|
| 001 | vtls000092681 | ||
| 003 | KUKTEM | ||
| 005 | 20251125103108.0 | ||
| 008 | 151203t2015 flua f 001 0 eng d | ||
| 020 | _a9781482241396 (hbk.) | ||
| 039 | 9 |
_a201601221637 _bsaini _y201512031155 _zezzatul |
|
| 040 | _aUMP | ||
| 090 | _aQA401 .R44 2015 | ||
| 111 | 2 |
_aROKS (Workshop) _d(2013 : _cLeuven, Belgium) |
|
| 245 | 1 | 0 |
_aRegularization, optimization, kernels, and support vector machines / _ceditors, Johan A.K. Suykens, Marco Signoretto, Andreas Argyriou |
| 260 |
_aBoca Raton, FL : _bCRC Press, _c2015 |
||
| 300 |
_axvii, 507 p. : _bill. ; _c24 cm. |
||
| 490 | 1 | _aChapman & Hall/CRC machine learning & pattern recognition series | |
| 504 | _aIncludes bibliographical references and index | ||
| 650 | 0 |
_aMathematical models _vCongresses |
|
| 650 | 0 |
_aMathematical statistics _vCongresses |
|
| 650 | 0 | _aCompressed sensing (Telecommunication) | |
| 700 | 1 | _aSuykens, Johan A. K. | |
| 700 | 1 | _aSignoretto, Marco | |
| 700 | 1 | _aArgyriou, Andreas | |
| 830 | 0 | _aChapman & Hall/CRC machine learning & pattern recognition series | |
| 999 |
_aVIRTUA40 _c82158 _d82164 |
||
| 999 | _aVTLSSORT0080*0200*0400*0900*1110*2450*2600*3000*4900*5040*6500*6501*6502*7000*7001*7002*8300*9992 | ||