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ECML
2007
Springer
13 years 9 months ago
Probabilistic Explanation Based Learning
Abstract. Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive manner and they aim to capture the essen...
Angelika Kimmig, Luc De Raedt, Hannu Toivonen
EXACT
2008
13 years 6 months ago
Integrating Probabilistic and Knowledge-Based Systems for Explanation Generation
An important requirement for intelligent assistants is to have an explanation generation mechanism, so that the trainee has a better understanding of the recommended actions and ca...
Francisco Elizalde, Luis Enrique Sucar, Julieta No...
DSL
2009
13 years 1 months ago
A DSL for Explaining Probabilistic Reasoning
We propose a new focus in language design where languages provide constructs that not only describe the computation of results, but also produce explanations of how and why those r...
Martin Erwig, Eric Walkingshaw
IJCAI
1989
13 years 4 months ago
Acquiring Recursive Concepts with Explanation-Based Learning
Explanation-based generalization algorithms need to generalize the structure of their explanations. This is necessary in order to acquire concepts where a recursive or iterative p...
Jude W. Shavlik