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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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Related topics
Related topics
4 relations
Domain theory
First Order Inductive Learner
MedSLT
Broader (1)
Machine learning
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Revisiting the Indication for a low opacity Universe for very high energy gamma-rays
M. Meyer
,
D. Horns
,
M. Raue
2012
Corpus ID: 118497800
Very high energy (VHE, energy >~ 100 GeV) {\gamma}-rays undergo pair production with photons of the extragalactic background…
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2011
2011
Hard MeV–GeV spectra of blazars
K. Katarzyński
2011
Corpus ID: 119235340
Very high energy (VHE) gamma-ray emission from a distant source (z >~0.2) can be efficiently absorbed my means of the electron…
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2010
2010
Evaluation of resistance to Phytophthora cinnamomi in seed-grown trees and clonal lines of Eucalyptus marginata inoculated in lateral branches and roots
D. Hüberlia
,
I. C. Tommerupb
,
I. J. Colquhounc
,
G. E. Hardya
2010
Corpus ID: 36785450
Seed-grown trees and six clonal lines of 3.5 to 4.5 year-old Eucalyptus marginata (jarrah) growing in a rehabilitated bauxite…
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2009
2009
Deep-UV Technology for the Fabrication of Bragg Gratings on SOI Rib Waveguides
I. Giuntoni
,
D. Stolarek
,
+7 authors
Lars Zimmermann
IEEE Photonics Technology Letters
2009
Corpus ID: 33577637
In this letter, we present a wafer level technology based on deep-ultraviolet lithography to fabricate Bragg gratings on silicon…
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2005
2005
Micro and nanoprocessing techniques and applications
A. Mamalis
,
A. Markopoulos
,
D. E. Manolakos
2005
Corpus ID: 57840379
The demands of today’s industry lead towards the continuous refinement of manufacturing processes as far as the achieved…
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1991
1991
Learning to Predict and Explain: An Integration of Similarity-Based, Theory-Driven, and Explanation-Based Learning
M. Pazzani
1991
Corpus ID: 56617327
We analyze the types of information that human learners rely on in the acquisition of predictive and explanatory knowledge. We…
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1989
1989
Average case analysis of empirical and explanation-based learning algorithms
Wendy Sarrett
,
M. Pazzani
1989
Corpus ID: 116988106
Author(s): Sarrett, Wendy E.; Pazzani, Michael J. | Abstract: We present an approach to modeling the average case behavior of…
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1987
1987
Extending Explanation-Based Learning: Failure-Driven Schema Refinement
Steve Ankuo Chien
1987
Corpus ID: 63573274
U N C L A S S lF IE D /U N L iM I T c O £! s a m e a s = p t . Z o t i c USERS Z 21. a b s t r a c t s e c u r i t y c l a s s i…
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1987
1987
On the Operationality/Generality Trade-off in Explanation-based Learning
Alberto Maria Segre
International Joint Conference on Artificial…
1987
Corpus ID: 14659747
In this paper we examine the operationalityigenerality trade-off and how it affects performance of explanation-based learning…
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1987
1987
Explanation-Based Learning of Generalized Robot Assembly Plans
Alberto Maria Segre
1987
Corpus ID: 62330796
This thesis describes an experiment involving the application of a recently developed machine learning technique, explanation…
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