Explanation-based learning

Known as: EBL, Explanation based learning 
'Explanation-based learning (EBL)is a form of machine learning that exploits a very strong, or even perfect, domain theory to make generalizations or… (More)
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Papers overview

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2007
2007
Explanation based learning produces generalized explanations from examples. These explanations are typically built in a deductive… (More)
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2007
2007
  • Tom M. MitchellCarnegie
  • 2007
Although machine learning techniques have been applied with remarkable success to several problems of computer perception and… (More)
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1997
1997
Explanation-Based Reinforcement Learning (EBRL) was introduced by Dietterich and Flann as a way of combining the ability of… (More)
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Highly Cited
1994
Highly Cited
1994
This paper presents NeuroChess, a program which learns to play chess from the final outcome of games. NeuroChess learns chess… (More)
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1993
1993
The impact of Explanation-Based Learning (EBL) on problem-solving eciency varies greatly from one problem space to another. In… (More)
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1992
1992
Downloading the book in this website lists can give you more advantages. It will show you the best book collections and completed… (More)
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Highly Cited
1989
Highly Cited
1989
This article outlines explanation-based learning (EBL) and its role in improving problem-solving performance through experience… (More)
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1989
1989
Explanation-based generalization algorithms need to generalize the structure of their explanations. This is necessary in order to… (More)
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Highly Cited
1988
Highly Cited
1988
Although P revious research has demonstrated that EBL is a viab e approach for acquiring search control knowledge, in practice… (More)
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Highly Cited
1986
Highly Cited
1986
In the last issue of this journal Mitchell, Keller, and Kedar-Cabelli presented a unifying framework for the explanation-based… (More)
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