| 000 | 01455nam a2200277 a 4500 | ||
|---|---|---|---|
| 001 | vtls000092423 | ||
| 003 | KUKTEM | ||
| 005 | 20251125103304.0 | ||
| 008 | 151201t2015 flua f 001 0 eng d | ||
| 020 | _a9781466583283 (hbk.) | ||
| 039 | 9 |
_a201602181146 _baida _y201512011511 _zfaiz |
|
| 040 | _aUMP | ||
| 090 | _aQ325.5 .M37 2015 | ||
| 100 | 1 | _aMarsland, Stephen | |
| 245 | 1 | 0 |
_aMachine learning : _ban algorithmic perspective / _cStephen Marsland |
| 250 | _a2nd ed. | ||
| 260 |
_aBoca Raton, FL : _bCRC Press, _cc2015 |
||
| 300 |
_axx, 437 p. : _bill. ; _c25 cm. |
||
| 490 | 0 | _aChapman & Hall/CRC machine learning & pattern recognition series | |
| 504 | _aIncludes bibliographical references and index | ||
| 505 | 0 | _aIntroduction -- Preliminaries -- Neurons, neural networks, and linear discriminants -- The multi-layer perceptron -- Radial basis functions and splines -- Dimensionality reduction -- Probabilistic learning -- Support vector machines -- Optimisation and search -- Evolutionary learning -- Reinforcement learning -- Learning with trees -- Decision by committee: ensemble learning -- Unsupervised learning -- Markov chain Monte Carlo (MCMC) methods -- Graphical models -- Symmetric weights and deep belief networks -- Gaussian processes -- Python | |
| 650 | 0 | _aMachine learning | |
| 650 | 0 | _aAlgorithms | |
| 999 |
_aVIRTUA40 _c84009 _d84015 |
||
| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2500*2600*3000*4900*5040*5050*6500*6501*9992 | ||
| 942 | 0 | 0 | _09 |