594 search results - page 44 / 119 » Feature Selection for Value Function Approximation Using Bay... |
GM
1999
Springer
14 years 17 min ago
1999
Springer
In many applications one is concerned with the approximation of functions from a finite set of scattered data sites with associated function values. We describe a scheme for cons...
IJCV
2008
13 years 7 months ago
2008
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
ANNPR
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
UAI
2008
13 years 9 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
KBSE
2009
IEEE
14 years 2 months ago
2009
IEEE
SEESAW combines AI search tools, a Monte Carlo simulator, and some software process models. We show here that, when selecting technologies for a software project, SEESAW out-perfo...