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» Learning minimal abstractions
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ICML
2000
IEEE
16 years 6 months ago
Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality
Franck Thollard, Pierre Dupont, Colin de la Higuer...
ECML
2005
Springer
15 years 11 months ago
On the LearnAbility of Abstraction Theories from Observations for Relational Learning
Stefano Ferilli, Teresa Maria Altomare Basile, Nic...
IEEEICCI
2003
IEEE
15 years 11 months ago
Perceptual Learning and Abstraction in Machine Learning
Nicolas Bredeche, Zhongzhi Shi, Jean-Daniel Zucker
ICML
1998
IEEE
16 years 6 months ago
Intra-Option Learning about Temporally Abstract Actions
tion Learning about Temporally Abstract Actions Richard S. Sutton Department of Computer Science University of Massachusetts Amherst, MA 01003-4610 rich@cs.umass.edu Doina Precup D...
Richard S. Sutton, Doina Precup, Satinder P. Singh
ESWS
2007
Springer
15 years 12 months ago
Semantic Composition of Lecture Subparts for a Personalized e-Learning
Abstract. In this paper we propose an algorithm for personalized learning based on a user’s query and a repository of lecture subparts —i.e., learning objects— both are descr...
Naouel Karam, Serge Linckels, Christoph Meinel