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» Learning Algorithms for Domain Adaptation
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105
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GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
15 years 1 months ago
Multi-agent task allocation: learning when to say no
This paper presents a communication-less multi-agent task allocation procedure that allows agents to use past experience to make non-greedy decisions about task assignments. Exper...
Adam Campbell, Annie S. Wu, Randall Shumaker
129
Voted
TSP
2010
14 years 7 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
103
Voted
AIPS
2008
15 years 3 months ago
Learning Relational Decision Trees for Guiding Heuristic Planning
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...
Tomás de la Rosa, Sergio Jiménez, Da...
152
Voted
ECML
2006
Springer
15 years 4 months ago
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Sébastien Jodogne, Justus H. Piater
112
Voted
ETT
2007
90views Education» more  ETT 2007»
15 years 22 days ago
Algorithms and applications of channel impulse response length estimation for MIMO-OFDM
Abstract— The performance of the widely applied timedomain channel estimation for SISO- and MIMO-OFDM systems strongly depends on the preciseness of information regarding maximum...
Marco Krondorf, Ting-Jung Liang, M. Goblirsch, Ger...