Verfügbarkeit: Probabilistic graphical models

Probabilistic graphical models: 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings

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Bibliographische Detailangaben
Weitere Verfasser:	Gaag, Linda C. van der 1959- (HerausgeberIn)
Format:	Elektronisch Tagungsbericht E-Book
Sprache:	English
Veröffentlicht:	Cham [u.a.] Springer 2014
Schriftenreihe:	Lecture notes in computer science 8754 : Lecture notes in artificial intelligence
Schlagworte:	Graphisches Modell Konferenzschrift
Online-Zugang:	DE-634 DE-M347 DE-92 DE-859 DE-861 DE-91 DE-384 DE-473 DE-703 DE-20 DE-706 DE-29 DE-739 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online-Ressource (XII, 598 S.) 235 mm x 155 mm
ISBN:	9783319114330
DOI:	10.1007/978-3-319-11433-0

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Datensatz im Suchindex

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adam_text	PROBABILISTIC GRAPHICAL MODELS / : 2014 TABLE OF CONTENTS / INHALTSVERZEICHNIS STRUCTURAL SENSITIVITY FOR THE KNOWLEDGE ENGINEERING OF BAYESIAN NETWORKS A PAIRWISE CLASS INTERACTION FRAMEWORK FOR MULTILABEL CLASSIFICATION FROM INFORMATION TO EVIDENCE IN A BAYESIAN NETWORK LEARNING GATED BAYESIAN NETWORKS FOR ALGORITHMIC TRADING LOCAL SENSITIVITY OF BAYESIAN NETWORKS TO MULTIPLE SIMULTANEOUS PARAMETER SHIFTS BAYESIAN NETWORK INFERENCE USING MARGINAL TREES ON SPI-LAZY EVALUATION OF INFLUENCE DIAGRAMS EXTENDED PROBABILITY TREES FOR PROBABILISTIC GRAPHICAL MODELS MIXTURE OF POLYNOMIALS PROBABILITY DISTRIBUTIONS FOR GROUPED SAMPLE DATA TRADING OFF SPEED AND ACCURACY IN MULTILABEL CLASSIFICATION ROBUSTIFYING THE VITERBI ALGORITHM EXTENDED TREE AUGMENTED NAIVE CLASSIFIER EVALUATION OF RULES FOR COPING WITH INSUFFICIENT DATA IN CONSTRAINT-BASED SEARCH ALGORITHMS SUPERVISED CLASSIFICATION USING HYBRID PROBABILISTIC DECISION GRAPHS TOWARDS A BAYESIAN DECISION THEORETIC ANALYSIS OF CONTEXTUAL EFFECT MODIFIERS DISCRETE BAYESIAN NETWORK INTERPRETATION OF THE COX'S PROPORTIONAL HAZARDS MODEL MINIMIZING RELATIVE ENTROPY IN HIERARCHICAL PREDICTIVE CODING TREEWIDTH AND THE COMPUTATIONAL COMPLEXITY OF MAP APPROXIMATIONS BAYESIAN NETWORKS WITH FUNCTION NODES A NEW METHOD FOR VERTICAL PARALLELISATION OF TAN LEARNING BASED ON BALANCED INCOMPLETE BLOCK DESIGNS EQUIVALENCES BETWEEN MAXIMUM A POSTERIORI INFERENCE IN BAYESIAN NETWORKS AND MAXIMUM EXPECTED UTILITY COMPUTATION IN INFLUENCE DIAGRAMS SPEEDING UP $K$-NEIGHBORHOOD LOCAL SEARCH IN LIMITED MEMORY INFLUENCE DIAGRAMS INHIBITED EFFECTS IN CP-LOGIC LEARNING PARAMETERS IN CANONICAL MODELS USING WEIGHTED LEAST SQUARES LEARNING MARGINAL AMP CHAIN GRAPHS UNDER FAITHFULNESS LEARNING MAXIMUM WEIGHTED (K+1)-ORDER DECOMPOSABLE GRAPHS BY INTEGER LINEAR PROGRAMMING MULTI-LABEL CLASSIFICATION FOR TREE AND DIRECTED ACYCLIC GRAPHS HIERARCHIES MIN-BDEU AND MAX-BDEU SCORES FOR LEARNING BAYESIAN NETWORKS CAUSAL DISCOVERY FROM DATABASES WITH DISCRETE AND CONTINUOUS VARIABLES ON EXPRESSIVENESS OF THE AMP CHAIN GRAPH INTERPRETATION LEARNING BAYESIAN NETWORK STRUCTURES WHEN DISCRETE AND CONTINUOUS VARIABLES ARE PRESENT LEARNING NEIGHBORHOODS OF HIGH CONFIDENCE IN CONSTRAINT-BASED CAUSAL DISCOVERY CAUSAL INDEPENDENCE MODELS FOR CONTINUOUS TIME BAYESIAN NETWORKS EXPRESSIVE POWER OF BINARY RELEVANCE AND CHAIN CLASSIFIERS BASED ON BAYESIAN NETWORKS FOR MULTI-LABEL CLASSIFICATION AN APPROXIMATE TENSOR-BASED INFERENCE METHOD APPLIED TO THE GAME OF MINESWEEPER COMPRESSION OF BAYESIAN NETWORKS WITH NIN-AND TREE MODELING A STUDY OF RECENTLY DISCOVERED EQUALITIES ABOUT LATENT TREE MODELS USING INVERSE EDGES AN EXTENDED MPL-C MODEL FOR BAYESIAN NETWORK PARAMETER LEARNING WITH EXTERIOR CONSTRAINTS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. PROBABILISTIC GRAPHICAL MODELS / : 2014 ABSTRACT / INHALTSTEXT THIS BOOK CONSTITUTES THE REFEREED PROCEEDINGS OF THE 7TH INTERNATIONAL WORKSHOP ON PROBABILISTIC GRAPHICAL MODELS, PGM 2014, HELD IN UTRECHT, THE NETHERLANDS, IN SEPTEMBER 2014. THE 38 REVISED FULL PAPERS PRESENTED IN THIS BOOK WERE CAREFULLY REVIEWED AND SELECTED FROM 44 SUBMISSIONS. THE PAPERS COVER ALL ASPECTS OF GRAPHICAL MODELS FOR PROBABILISTIC REASONING, DECISION MAKING, AND LEARNING DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spelling	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings Linda C. van der Gaag ... (eds.) Cham [u.a.] Springer 2014 1 Online-Ressource (XII, 598 S.) 235 mm x 155 mm txt rdacontent c rdamedia cr rdacarrier Lecture notes in computer science 8754 : Lecture notes in artificial intelligence Graphisches Modell (DE-588)4606156-3 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Graphisches Modell (DE-588)4606156-3 s DE-604 Gaag, Linda C. van der 1959- (DE-588)1058582380 edt PGM 7. 2014 Utrecht Sonstige (DE-588)1058405209 oth Erscheint auch als Druck-Ausgabe, Paperback 978-3-319-11432-3 Lecture notes in computer science 8754 : Lecture notes in artificial intelligence (DE-604)BV014880109 8754 https://doi.org/10.1007/978-3-319-11433-0 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027518943&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027518943&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract
spellingShingle	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings Lecture notes in computer science Graphisches Modell (DE-588)4606156-3 gnd
subject_GND	(DE-588)4606156-3 (DE-588)1071861417
title	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings
title_auth	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings
title_exact_search	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings
title_full	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings Linda C. van der Gaag ... (eds.)
title_fullStr	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings Linda C. van der Gaag ... (eds.)
title_full_unstemmed	Probabilistic graphical models 7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings Linda C. van der Gaag ... (eds.)
title_short	Probabilistic graphical models
title_sort	probabilistic graphical models 7th european workshop pgm 2014 utrecht the netherlands september 17 19 2014 proceedings
title_sub	7th European workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014 ; proceedings
topic	Graphisches Modell (DE-588)4606156-3 gnd
topic_facet	Graphisches Modell Konferenzschrift
url	https://doi.org/10.1007/978-3-319-11433-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027518943&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027518943&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV014880109
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