000 | 01248nam a2200433Ia 4500 | ||
---|---|---|---|
008 | 210429s9999||||xx |||||||||||||| ||und|| | ||
020 | _a9781107439955 | ||
041 | _aeng | ||
082 |
_a006.31 _bBAR |
||
100 | _aBarber, David | ||
245 | 0 |
_aBayesian reasoning and machine learning _cby David Barber |
|
260 |
_aNew Delhi: _bCambridge University Press _c2014 |
||
300 |
_axxiv, 697p., app., ref., ind. _c24 cm x 18 cm |
||
365 |
_aINR _b1495 |
||
650 | _aalgorithm | ||
650 | _aapproximate | ||
650 | _aartificial intelligence | ||
650 | _abasic graph concepts | ||
650 | _abayesian statistical decision theory | ||
650 | _abelief networks | ||
650 | _aclassification | ||
650 | _adecision | ||
650 | _adistributed computation | ||
650 | _adynamical | ||
650 | _aefficient inference in trees | ||
650 | _agaussian processes | ||
650 | _agraphical models | ||
650 | _ahidden variables | ||
650 | _ainference in probabilistic models | ||
650 | _alatent | ||
650 | _alinear dimension | ||
650 | _amachine learning | ||
650 | _amixture models | ||
650 | _anaive bayes | ||
650 | _asampling | ||
650 | _astatistics | ||
942 |
_2Dewey Decimal Classification _cBK |
||
999 |
_c10527 _d10527 |