000 | 02996nam a22004935i 4500 | ||
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001 | 978-3-540-85066-3 | ||
003 | DE-He213 | ||
005 | 20161121230550.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2008 gw | s |||| 0|eng d | ||
020 |
_a9783540850663 _9978-3-540-85066-3 |
||
024 | 7 |
_a10.1007/978-3-540-85066-3 _2doi |
|
050 | 4 | _aTA329-348 | |
050 | 4 | _aTA640-643 | |
072 | 7 |
_aTBJ _2bicssc |
|
072 | 7 |
_aMAT003000 _2bisacsh |
|
082 | 0 | 4 |
_a519 _223 |
245 | 1 | 0 |
_aInnovations in Bayesian Networks _h[electronic resource] : _bTheory and Applications / _cedited by Dawn E. Holmes, Lakhmi C. Jain. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008. |
|
300 |
_aX, 322 p. 92 illus. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Computational Intelligence, _x1860-949X ; _v156 |
|
505 | 0 | _ato Bayesian Networks -- A Polemic for Bayesian Statistics -- A Tutorial on Learning with Bayesian Networks -- The Causal Interpretation of Bayesian Networks -- An Introduction to Bayesian Networks and Their Contemporary Applications -- Objective Bayesian Nets for Systems Modelling and Prognosis in Breast Cancer -- Modeling the Temporal Trend of the Daily Severity of an Outbreak Using Bayesian Networks -- An Information-Geometric Approach to Learning Bayesian Network Topologies from Data -- Causal Graphical Models with Latent Variables: Learning and Inference -- Use of Explanation Trees to Describe the State Space of a Probabilistic-Based Abduction Problem -- Toward a Generalized Bayesian Network -- A Survey of First-Order Probabilistic Models. | |
520 | _aBayesian networks currently provide one of the most rapidly growing areas of research in computer science and statistics. In compiling this volume we have brought together contributions from some of the most prestigious researchers in this field. Each of the twelve chapters is self-contained. Both theoreticians and application scientists/engineers in the broad area of artificial intelligence will find this volume valuable. It also provides a useful sourcebook for Graduate students since it shows the direction of current research. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aApplied mathematics. | |
650 | 0 | _aEngineering mathematics. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aAppl.Mathematics/Computational Methods of Engineering. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
700 | 1 |
_aHolmes, Dawn E. _eeditor. |
|
700 | 1 |
_aJain, Lakhmi C. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540850656 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-949X ; _v156 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-85066-3 |
912 | _aZDB-2-ENG | ||
950 | _aEngineering (Springer-11647) | ||
999 |
_c500647 _d500647 |