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» An Algebraic Approach to Inductive Learning
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SLP
1989
105views more  SLP 1989»
13 years 9 months ago
Automatic Ordering of Subgoals - A Machine Learning Approach
This paper describes a learning system, LASSY1, which explores domains represented by Prolog databases, and use its acquired knowledge to increase the efficiency of a Prolog inter...
Shaul Markovitch, Paul D. Scott
CP
2009
Springer
14 years 8 months ago
Minimising Decision Tree Size as Combinatorial Optimisation
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...
FLAIRS
2007
13 years 10 months ago
Learning Uncertain Rules with CONDORCKD
CONDORCKD is a system implementing a novel approach to discovering knowledge from data. It addresses the issue of relevance of the learned rules by algebraic means and explicitly ...
Jens Fisseler, Gabriele Kern-Isberner, Christoph B...
ICLP
2010
Springer
13 years 11 months ago
Inductive Logic Programming as Abductive Search
We present a novel approach to non-monotonic ILP and its implementation called tal (Top-directed Abductive Learning). tal overcomes some of the completeness problems of ILP systems...
Domenico Corapi, Alessandra Russo, Emil Lupu
LREC
2010
144views Education» more  LREC 2010»
13 years 9 months ago
Inferring Syntactic Rules for Word Alignment through Inductive Logic Programming
This paper presents and evaluates an original approach to automatically align bitexts at the word level. It relies on a syntactic dependency analysis of the source and target text...
Sylwia Ozdowska, Vincent Claveau