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» Learning Stochastic Logic Programs
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ICLA
2011
Springer
12 years 11 months ago
A Stochastic Interpretation of Propositional Dynamic Logic: Expressivity
We propose a probabilistic interpretation of Propositional Dynamic Logic (PDL). We show that logical and behavioral equivalence are equivalent over general measurable spaces. This...
Ernst-Erich Doberkat
IJCAI
2001
13 years 9 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
ICML
2003
IEEE
14 years 8 months ago
Learning Logic Programs for Layout Analysis Correction
Margherita Berardi, Michelangelo Ceci, Floriana Es...
NAACL
2001
13 years 9 months ago
Learning Optimal Dialogue Management Rules by Using Reinforcement Learning and Inductive Logic Programming
Developing dialogue systems is a complex process. In particular, designing efficient dialogue management strategies is often difficult as there are no precise guidelines to develo...
Renaud Lecoeuche
CCE
2004
13 years 7 months ago
Optimization under uncertainty: state-of-the-art and opportunities
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
Nikolaos V. Sahinidis