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» Learning Algorithms for Domain Adaptation
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EWRL
2008
15 years 1 months ago
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
Verena Heidrich-Meisner, Christian Igel
IJCAI
1989
15 years 1 months ago
An Adaptive Model of Decision-Making in Planning
Learning how to make decisions in a domain is a critical aspect of intelligent planning behavior. The ability of a planner to adapt its decision-making to a domain depends in part...
Gregg Collins, Lawrence Birnbaum, Bruce Krulwich
UAI
1997
15 years 1 months ago
Exploring Parallelism in Learning Belief Networks
It has been shown that a class of probabilistic domain models cannot be learned correctly by several existing algorithms which employ a single-link lookahead search. When a multil...
Tongsheng Chu, Yang Xiang
IJCAI
1997
15 years 1 months ago
Noise-Tolerant Windowing
Windowing has been proposed as a procedure for efficient memory use in the ID3 decision tree learning algorithm. However, it was shown that it may often lead to a decrease in perf...
Johannes Fürnkranz
TCSV
2010
14 years 6 months ago
SURE-LET for Orthonormal Wavelet-Domain Video Denoising
We propose an efficient orthonormal wavelet-domain video denoising algorithm based on an appropriate integration of motion compensation into an adapted version of our recently devi...
Florian Luisier, Thierry Blu, Michael Unser