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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 10 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
GLVLSI
2000
IEEE
87views VLSI» more  GLVLSI 2000»
15 years 11 months ago
Speeding up symbolic model checking by accelerating dynamic variable reordering
Symbolic Model checking is a widely used technique in sequential verification. As the size of the OBDDs and also the computation time depends on the order of the input variables,...
Christoph Meinel, Christian Stangier
AAAI
2007
15 years 9 months ago
Synthesis of Constraint-Based Local Search Algorithms from High-Level Models
The gap in automation between MIP/SAT solvers and those for constraint programming and constraint-based local search hinders experimentation and adoption of these technologies and...
Pascal Van Hentenryck, Laurent D. Michel
ASM
2008
ASM
15 years 8 months ago
Model Based Refinement and the Tools of Tomorrow
The ingredients of typical model based development via refinement are re-examined, and some well known frameworks are reviewed in that light, drawing out commonalities and differen...
Richard Banach
EUROS
2008
194views Robotics» more  EUROS 2008»
15 years 8 months ago
Compiling POMDP Models for a Multimodal Service Robot from Background Knowledge
This paper presents an approach to create POMDP models, used for decision making by an autonomous service robot, from background knowledge. This allows the power of POMDP decision ...
Sven R. Schmidt-Rohr, Rainer Jäkel, Martin L&...