2295 search results - page 173 / 459 » Learning Overcomplete Representations |
103
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GECCO
2008
Springer
15 years 2 months ago
2008
Springer
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
AIPS
2007
15 years 3 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...
113
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AAAI
2012
13 years 3 months ago
2012
Hashing, which tries to learn similarity-preserving binary codes for data representation, has been widely used for efficient nearest neighbor search in massive databases due to i...
135
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ATAL
2005
Springer
15 years 6 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
IJCAI
1989
15 years 2 months ago
1989
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...