000 | 03195nam a22006015i 4500 | ||
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001 | 978-3-319-28379-1 | ||
003 | DE-He213 | ||
005 | 20200421112220.0 | ||
007 | cr nn 008mamaa | ||
008 | 160107s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319283791 _9978-3-319-28379-1 |
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024 | 7 |
_a10.1007/978-3-319-28379-1 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
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_a006.3 _223 |
245 | 1 | 0 |
_aAdvanced Methodologies for Bayesian Networks _h[electronic resource] : _bSecond International Workshop, AMBN 2015, Yokohama, Japan, November 16-18, 2015. Proceedings / _cedited by Joe Suzuki, Maomi Ueno. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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300 |
_aXVIII, 265 p. 102 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9505 |
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505 | 0 | _aEffectiveness of graphical models including modeling. Reasoning, model selection -- Logic-probability relations -- Causality. Applying graphical models in real world settings -- Scalability -- Incremental learning.-Parallelization. | |
520 | _aThis volume constitutes the refereed proceedings of the Second International Workshop on Advanced Methodologies for Bayesian Networks, AMBN 2015, held in Yokohama, Japan, in November 2015. The 18 revised full papers and 6 invited abstracts presented were carefully reviewed and selected from numerous submissions. In the International Workshop on Advanced Methodologies for Bayesian Networks (AMBN), the researchers explore methodologies for enhancing the effectiveness of graphical models including modeling, reasoning, model selection, logic-probability relations, and causality. The exploration of methodologies is complemented discussions of practical considerations for applying graphical models in real world settings, covering concerns like scalability, incremental learning, parallelization, and so on. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputers. | |
650 | 0 | _aAlgorithms. | |
650 | 0 | _aMathematical statistics. | |
650 | 0 | _aDatabase management. | |
650 | 0 | _aArtificial intelligence. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
650 | 2 | 4 | _aComputation by Abstract Devices. |
650 | 2 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aInformation Systems Applications (incl. Internet). |
700 | 1 |
_aSuzuki, Joe. _eeditor. |
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700 | 1 |
_aUeno, Maomi. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319283784 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v9505 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-28379-1 |
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