654 search results - page 77 / 131 » TRUST-TECH based Methods for Optimization and Learning |
90
Voted
COLT
2007
Springer
15 years 7 months ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
108
Voted
AAAI
2007
15 years 3 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
107
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AAAI
2000
15 years 2 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
126
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AAAI
1994
15 years 2 months ago
1994
To navigate effectively, an autonomous agent must be able to quickly and accurately determine its current location. Given an initial estimate of its position (perhaps based on dea...
105
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
In this paper, we address the problem of 3D volume reconstruction from depth adjacent subvolumes (i.e., sets of image frames) acquired using a confocal laser scanning microscope (...