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» Probabilistic Logic Programming
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ATAL
2006
Springer
15 years 11 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 11 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 10 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 5 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
16 years 27 days 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...