1400 search results - page 19 / 280 » Post-Analysis of Learned Rules |
192
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KR
2004
Springer
16 years 23 days ago
2004
Springer
To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
206
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ICMLA
2010
15 years 4 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
193
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ECML
2004
Springer
16 years 24 days ago
2004
Springer
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space,...
201
Voted
SWAP
2008
15 years 8 months ago
2008
The definition of new concepts or roles for which extensional knowledge become available can turn out to be necessary to make a DL ontology evolve. In this paper we reformulate thi...
201
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AAAI
1994
15 years 8 months ago
1994
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...