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ICTAI
2007
IEEE
14 years 4 months ago
ExOpaque: A Framework to Explain Opaque Machine Learning Models Using Inductive Logic Programming
In this paper we developed an Inductive Logic Programming (ILP) based framework ExOpaque that is able to extract a set of Horn clauses from an arbitrary opaque machine learning mo...
Yunsong Guo, Bart Selman
ICLP
2010
Springer
14 years 1 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
CLEF
2005
Springer
14 years 3 months ago
A Logic Programming Based Approach to QA@CLEF05 Track
Abstract. In this paper the methodology followed to build a questionanswering system for the Portuguese language is described. The system modules are built using computational ling...
Paulo Quaresma, Irene Pimenta Rodrigues
ICLP
2007
Springer
14 years 2 months ago
Web Sites Verification: An Abductive Logic Programming Tool
We present the CIFFWEB system, an innovative tool for the verification of web sites, relying upon abductive logic programming. The system allows the user to define rules that a web...
Paolo Mancarella, Giacomo Terreni, Francesca Toni
CADE
1999
Springer
14 years 2 months ago
System Description: Twelf - A Meta-Logical Framework for Deductive Systems
Abstract. Twelf is a meta-logical framework for the specification, implementation, and meta-theory of deductive systems from the theory of programming languages and logics. It rel...
Frank Pfenning, Carsten Schürmann