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» Learning with Kernels and Logical Representations
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CIA
2006
Springer
15 years 4 months ago
Market-Inspired Approach to Collaborative Learning
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Jan Tozicka, Michal Jakob, Michal Pechoucek
109
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EKAW
2008
Springer
15 years 2 months ago
On the Influence of Description Logics Ontologies on Conceptual Similarity
Similarity measures play a key role in the Semantic Web perspective. Indeed, most of the ontology related operations such as ontology learning, ontology alignment, ontology ranking...
Claudia d'Amato, Steffen Staab, Nicola Fanizzi
98
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ICML
2005
IEEE
16 years 1 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
ILP
2007
Springer
15 years 6 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
ICTAI
2007
IEEE
15 years 6 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz