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» A Logic Programming Based Approach to QA@CLEF05 Track
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IJCAI
2007
14 years 11 months ago
A Fully Connectionist Model Generator for Covered First-Order Logic Programs
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
Sebastian Bader, Pascal Hitzler, Steffen Höll...
NAACL
2001
14 years 11 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
ML
2008
ACM
150views Machine Learning» more  ML 2008»
14 years 9 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
PDP
2009
IEEE
15 years 4 months ago
Task-Parallel versus Data-Parallel Library-Based Programming in Multicore Systems
—Multicore machines are becoming common. There are many languages, language extensions and libraries devoted to improve the programmability and performance of these machines. In ...
Diego Andrade, Basilio B. Fraguela, James C. Brodm...
IFIP
2001
Springer
15 years 1 months ago
Functional Test Generation using Constraint Logic Programming
— Semi-formal verification based on symbolic simulation offers a good compromise between formal model checking and numerical simulation. The generation of functional test vector...
Zhihong Zeng, Maciej J. Ciesielski, Bruno Rouzeyre