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217
Voted
CIMCA
2008
IEEE
16 years 1 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
337
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TKDE
2012
13 years 9 months ago
2012
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
169
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EMO
2003
Springer
16 years 5 days ago
2003
Springer
We apply the NSGA-II algorithm and its controlled elitist version NSGA-IIc for the intensity modulated beam radiotherapy dose optimization problem. We compare the performance of th...
200
Voted
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
169
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SCHOLARPEDIA
2008
15 years 6 months ago
2008
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...