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CONSTRAINTS
2008
89views more  CONSTRAINTS 2008»
15 years 3 months ago
A Reinforcement Learning Approach to Interval Constraint Propagation
When solving systems of nonlinear equations with interval constraint methods, it has often been observed that many calls to contracting operators do not participate actively to th...
Frédéric Goualard, Christophe Jerman...
PAMI
2006
114views more  PAMI 2006»
15 years 3 months ago
Nonparametric Supervised Learning by Linear Interpolation with Maximum Entropy
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
Maya R. Gupta, Robert M. Gray, Richard A. Olshen
122
Voted
AIEDU
2005
98views more  AIEDU 2005»
15 years 3 months ago
The Andes Physics Tutoring System: Lessons Learned
The Andes system is a mature intelligent tutoring system that has helped hundreds of students improve their learning of university physics. It replaces pencil and paper problem so...
Kurt VanLehn, Collin Lynch, Kay G. Schulze, Joel A...
ICASSP
2011
IEEE
14 years 7 months ago
Reinforcement learning for energy-efficient wireless transmission
We consider the problem of energy-efficient point-to-point transmission of delay-sensitive data (e.g. multimedia data) over a fading channel. We propose a rigorous and unified fra...
Nicholas Mastronarde, Mihaela van der Schaar
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 4 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman