995 search results - page 100 / 199 » Learning Useful Horn Approximations |
107
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ICML
2000
IEEE
16 years 1 months ago
2000
IEEE
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
ECML
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
127
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PRL
2007
15 years 5 days ago
2007
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
109
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ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The detection of faces in images is fundamentally a rare event detection problem. Cascade classifiers provide an efficient computational solution, by leveraging the asymmetry in t...
89
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IWINAC
2007
Springer
15 years 6 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...