3051 search results - page 322 / 611 » Learning Internal Representations |
146
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ICRA
2009
IEEE
15 years 11 months ago
2009
IEEE
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
131
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FUZZIEEE
2007
IEEE
15 years 11 months ago
2007
IEEE
— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
128
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AAMAS
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
160
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MICAI
2007
Springer
15 years 11 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
163
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MICCAI
2007
Springer
15 years 11 months ago
2007
Springer
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...