509 search results - page 50 / 102 » Using Learning for Approximation in Stochastic Processes |
154
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NIPS
2000
15 years 7 months ago
2000
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
137
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ETS
2002
IEEE
15 years 5 months ago
2002
IEEE
This study describes the use of technology to enhance an experiential adult learning process, which occurred in a participatory organizational climate assessment. In this case, co...
166
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
172
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DAGM
2010
Springer
15 years 7 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
155
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SDM
2010
SIAM
15 years 7 months ago
2010
SIAM
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...