1860 search results - page 302 / 372 » Boosting Methods for Regression |
112
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ECML
2005
Springer
15 years 5 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
103
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IWANN
2001
Springer
15 years 3 months ago
2001
Springer
One of the main research concern in neural networks is to find the appropriate network size in order to minimize the trade-off between overfitting and poor approximation. In this ...
JSAI
2001
Springer
15 years 3 months ago
2001
Springer
: AHP is proposed to give the importance grade with respect to many items. The comparison value that is the element of a comparison matirx is used to be crisp, however, it is easy ...
ICIP
2007
IEEE
15 years 3 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...