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» Probabilistic Logic Programming
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ATAL
2006
Springer
15 years 10 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
DAC
1995
ACM
15 years 9 months ago
Efficient Power Estimation for Highly Correlated Input Streams
- Power estimation in combinational modules is addressed from a probabilistic point of view. The zero-delay hypothesis is considered and under highly correlated input streams, the ...
Radu Marculescu, Diana Marculescu, Massoud Pedram
POPL
2011
ACM
14 years 9 months ago
Making prophecies with decision predicates
We describe a new algorithm for proving temporal properties expressed in LTL of infinite-state programs. Our approach takes advantage of the fact that LTL properties can often be...
Byron Cook, Eric Koskinen
PPDP
2010
Springer
15 years 4 months ago
Type inference in intuitionistic linear logic
We study the type checking and type inference problems for intuitionistic linear logic: given a System F typed λ-term, (i) for an alleged linear logic type, determine whether the...
Patrick Baillot, Martin Hofmann
ICFP
2005
ACM
15 years 12 months ago
Fast narrowing-driven partial evaluation for inductively sequential programs
Narrowing-driven partial evaluation is a powerful technique for the specialization of (first-order) functional and functional logic programs. However, although it gives good resu...
J. Guadalupe Ramos, Josep Silva, Germán Vid...