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» Case-Factor Diagrams for Structured Probabilistic Modeling
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UAI
2004
13 years 6 months ago
Case-Factor Diagrams for Structured Probabilistic Modeling
We introduce a probabilistic formalism subsuming Markov random fields of bounded tree width and probabilistic context free grammars. Our models are based on a representation of Bo...
David A. McAllester, Michael Collins, Fernando Per...
VOSS
2004
Springer
152views Mathematics» more  VOSS 2004»
13 years 10 months ago
Symbolic Representations and Analysis of Large Probabilistic Systems
Abstract. This paper describes symbolic techniques for the construction, representation and analysis of large, probabilistic systems. Symbolic approaches derive their efficiency by...
Andrew S. Miner, David Parker
QEST
2010
IEEE
13 years 2 months ago
Symblicit Calculation of Long-Run Averages for Concurrent Probabilistic Systems
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...
Ralf Wimmer, Bettina Braitling, Bernd Becker, Erns...
JAIR
2008
171views more  JAIR 2008»
13 years 5 months ago
AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models
Inspired by AND/OR search spaces for graphical models recently introduced, we propose to augment Multi-Valued Decision Diagrams (MDD) with AND nodes, in order to capture function ...
Robert Mateescu, Rina Dechter, Radu Marinescu 0002
IJAR
2006
89views more  IJAR 2006»
13 years 5 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander