530 search results - page 69 / 106 » Learning Bounds for Domain Adaptation |
105
Voted
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
—Randomized learning methods (i.e., Forests or Ferns) have shown excellent capabilities for various computer vision applications. However, it was shown that the tree structure in...
IADIS
2004
15 years 1 months ago
2004
This paper aims to provide an experimental vision of the process of course creation using learning objects obtained in the <e-aula> project, a pilot e-learning system concei...
179
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GECCO
2011
Springer
14 years 4 months ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
97
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
Keepaway is a sub-problem of RoboCup Soccer Simulator in which 'the keepers' try to maintain the possession of the ball, while 'the takers' try to steal the ba...
AIPS
2006
15 years 1 months ago
2006
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...