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» Algorithms for Propositional KB Approximation
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FMCAD
2007
Springer
13 years 12 months ago
Lifting Propositional Interpolants to the Word-Level
— Craig interpolants are often used to approximate inductive invariants of transition systems. Arithmetic relationships between numeric variables require word-level interpolants,...
Daniel Kroening, Georg Weissenbacher
IJCAI
1997
13 years 7 months ago
Model Minimization, Regression, and Propositional STRIPS Planning
Propositional STRIPS planning problems can be viewed as finite state automata (FSAs) represented in a factored form. Automaton minimization is a well-known technique for reducing ...
Robert Givan, Thomas Dean
AAAI
2006
13 years 7 months ago
Learning Partially Observable Action Models: Efficient Algorithms
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
Dafna Shahaf, Allen Chang, Eyal Amir
SIGMOD
2009
ACM
120views Database» more  SIGMOD 2009»
14 years 6 months ago
Kernel-based skyline cardinality estimation
The skyline of a d-dimensional dataset consists of all points not dominated by others. The incorporation of the skyline operator into practical database systems necessitates an ef...
Zhenjie Zhang, Yin Yang, Ruichu Cai, Dimitris Papa...
SAT
2005
Springer
145views Hardware» more  SAT 2005»
13 years 11 months ago
A New Approach to Model Counting
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
Wei Wei, Bart Selman