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SAINT
2005
IEEE
14 years 3 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
DALT
2004
Springer
14 years 1 months ago
Modeling and Verification of Distributed Autonomous Agents Using Logic Programming
Systems of autonomous agents providing automated services over the Web are fast becoming a reality. Often these agent systems are constructed using procedural architectures that pr...
L. Robert Pokorny, C. R. Ramakrishnan
AAAI
1996
13 years 11 months ago
Learning to Parse Database Queries Using Inductive Logic Programming
This paper presents recent work using the Chill parser acquisition system to automate the construction of a natural-language interface for database queries. Chill treats parser ac...
John M. Zelle, Raymond J. Mooney
ACL
2012
12 years 1 days ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires ...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
NMR
2004
Springer
14 years 3 months ago
Preferential defeasibility: utility in defeasible logic programming
The development of Logic Programming and Defeasible Argumentation lead to Defeasible Logic Programming. Its core resides in the characterization of the warrant procedure. Defeasib...
Fernando A. Tohmé, Guillermo Ricardo Simari