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» Learning Algorithms for Domain Adaptation
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ICMLA
2004
15 years 4 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
GECCO
2005
Springer
15 years 8 months ago
Intelligent exploration method for XCS
Exploration/Exploitation equilibrium is one of the most challenging issues in reinforcement learning area as well as learning classifier systems such as XCS. In this paper1 , an i...
Ali Hamzeh, Adel Rahmani
ATAL
2007
Springer
15 years 9 months ago
Towards reinforcement learning representation transfer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
Matthew E. Taylor, Peter Stone
DRM
2005
Springer
15 years 8 months ago
Statistical audio watermarking algorithm based on perceptual analysis
In this paper, we describe a novel statistical audio watermarking scheme. Under the control of the masking thresholds, watermark is embedded adaptively and transparently in the pe...
Xiaomei Quan, Hongbin Zhang
VMV
2008
151views Visualization» more  VMV 2008»
15 years 4 months ago
Adaptive surface decomposition for the distance computation of arbitrarily shaped objects
We propose an adaptive decomposition algorithm to compute separation distances between arbitrarily shaped objects. Using the Gilbert-JohnsonKeerthi algorithm (GJK), we search for ...
Marc Gissler, Matthias Teschner