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| 001 | 314272 | ||
| 003 | MX-SnUAN | ||
| 005 | 20160429160744.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160108s2015 xxk| s |||| 0|eng d | ||
| 020 |
_a9781447166993 _9978-1-4471-6699-3 |
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| 035 | _avtls000414677 | ||
| 039 | 9 |
_y201601081054 _zstaff |
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| 050 | 4 | _aQA276-280 | |
| 100 | 1 |
_aSucar, Luis Enrique, _eautor. _9348387 |
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| 245 | 1 | 0 |
_aProbabilistic graphical models : _bprinciples and applications / _cLuis Enrique Sucar. |
| 264 | 1 |
_aLondon : _bSpringer London : _bSpringer, _c2015. |
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| 300 |
_axxiv, 253 páginas : _b117 ilustraciones, 4 ilustraciones en color. |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_acomputadora _bc _2rdamedia |
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| 338 |
_arecurso en línea _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF _2rda |
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| 490 | 0 |
_aAdvances in Computer Vision and Pattern Recognition, _x2191-6586 |
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| 500 | _aSpringer eBooks | ||
| 505 | 0 | _aPart I: Fundamentals -- Introduction -- Probability Theory -- Graph Theory -- Part II: Probabilistic Models -- Bayesian Classifiers -- Hidden Markov Models -- Markov Random Fields -- Bayesian Networks: Representation and Inference -- Bayesian Networks: Learning -- Dynamic and Temporal Bayesian Networks -- Part III: Decision Models -- Decision Graphs -- Markov Decision Processes -- Part IV: Relational and Causal Models -- Relational Probabilistic Graphical Models -- Graphical Causal Models. | |
| 590 | _aPara consulta fuera de la UANL se requiere clave de acceso remoto. | ||
| 710 | 2 |
_aSpringerLink (Servicio en línea) _9299170 |
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| 776 | 0 | 8 |
_iEdición impresa: _z9781447166986 |
| 856 | 4 | 0 |
_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-6699-3 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL) |
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_c314272 _d314272 |
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