000			01898n00 a220045700 4500
001			33404
005			20230423231440.0
008			150620 2553 THAmd a001 0 eng u
020			_a9781466583283
049			_bPITLIB
050	1	4	_aTJ230 _b.M268 2015
100	0		_aMarsland, Stephen _943342
245	1	0	_aMachine learning: an algorithmic perspective / _cStephen Marsland _h[book]
250			_a2nd ed
260			_aBoca Raton: _bCRC Press, _c2015. _94402
300			_a437p: _bill.
449		0	_a•L012– New Arrivals- Sep. 2015
650		7	_aMachine _xLearning _943343
690		0	_a0022 วิศวกรรมศาสตรบัณฑิต สาขาวิศวกรรมอุตสาหการ IE (ป.ตรี) _949
942			_cBK
970			_lCHAPTER 1 _tIntorduction _pp.1
970			_lCHAPTER2 _tpreliminaries _pหน้า 15
970			_lCHAPTER 3 _tNeurons,NEUR Networks, and Linear Discriminats _pp.39
970			_lCHAPTER4 _tThe Multi-layer Perceptron _pp.71
970			_lCHAPTER5 _tRadial Basis Functions and Splines _pp. 111
970			_lCHAPTER 6 _tDimensionality Reduction _pp. 129
970			_lCHAPTER7 _tProbabilistic Learning _pp.153
970			_lCHAPTER8 _tSupport Vector Machines _pp.169
970			_lCHAPTER 9 _tOptimistion and Search _pp.189
970			_lCHAPTER10 _tEvolutionary Learning _pp.211
970			_lCHAPTER11 _tReinforcement Learning _pp.231
970			_lCHAPTER 12 _tLearning with Trees _pp.249
970			_lCHAPTER 13 _tDecision by Committee: Ensemble Learning _pp.267
970			_lCHAPTER 14 _tUnsupervised Learning _pp.281
970			_lCHAPTER 15 _tMorkov Chain Monte Carlo (MCMC) Methods _pp.305
970			_lCHAPTER 16 _tGraphical Models _pp.321
970			_lCHAPTER 17 _tSymmetric Weights and Deep Belief Networks _pp.359
970			_lCHAPTER 18 _tGaussian Processes _pp.395
988			_c33404
999			_c33404 _d33404