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127
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EWLR
1997
Springer
15 years 7 months ago
Learning Complex Robot Behaviours by Evolutionary Computing with Task Decomposition
Building robots can be a tough job because the designer has to predict the interactions between the robot and the environment as well as to deal with them. One solution to cope the...
Wei-Po Lee, John Hallam, Henrik Hautop Lund
137
Voted
ECML
2006
Springer
15 years 7 months ago
Learning Stochastic Tree Edit Distance
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
Marc Bernard, Amaury Habrard, Marc Sebban
123
Voted
IJCAI
2003
15 years 5 months ago
Trainability: Developing a responsive learning system
In this paper, we describe the lessons we learned in developing AgentBuilder, a commercial system for rapidly creating agents that extract information from web sites. AgentBuilder...
Steven Minton, Sorinel I. Ticrea, Jennifer Beach
136
Voted
ML
2008
ACM
150views Machine Learning» more  ML 2008»
15 years 3 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...
136
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ML
2010
ACM
175views Machine Learning» more  ML 2010»
14 years 10 months ago
Concept learning in description logics using refinement operators
With the advent of the Semantic Web, description logics have become one of the most prominent paradigms for knowledge representation and reasoning. Progress in research and applica...
Jens Lehmann, Pascal Hitzler