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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… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Abstract. Going “beyond the CMOS information-processing era,” taking advantage of quantum effects occurring at sub-10-nm level… 
Review
2012
Review
2012
The intergalactic magnetic field (IGMF) in cosmic voids can be indirectly probed through its effect on electromagnetic cascades… 
2009
2009
The optical properties of InGaN multi-quantum-well laser diodes with different polarization-matched AlInGaN barrier layers have… 
Review
2005
Highly Cited
2005
Highly Cited
2005
A key issue in nanoimprint lithography (NIL) is determining the ultimate pitch resolution achievable for various pattern shapes… 
Highly Cited
2003
Highly Cited
2003
A number of new fabrication techniques are developed and optimized in order to fit the requirements of contemporary… 
Highly Cited
1998
Highly Cited
1998
Electron beam lithography (EBL) and scanning probe lithography (SPL) are electron exposure techniques capable of high resolution… 
Highly Cited
1994
Highly Cited
1994
. 1 We develop a learning component for a theorem prover designed for verifying statements by mathematical induction. If the… 
Highly Cited
1991
Highly Cited
1991
This paper describes the integration of abstraction and explanation-based learning (EBL) in the context of the PRODIGY system… 
Highly Cited
1990
Highly Cited
1990