7150 search results - page 1144 / 1430 » An Approximation Algorithm for Approximation Rank |
141
click to vote
ECML
2006
Springer
15 years 10 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
227
click to vote
ECML
2006
Springer
15 years 10 months ago
2006
Springer
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
166
click to vote
ENC
2006
IEEE
15 years 10 months ago
2006
IEEE
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
188
click to vote
GECCO
2006
Springer
15 years 10 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
156
click to vote
VVS
2000
IEEE
15 years 10 months ago
2000
IEEE
Multi-resolution data-structures and algorithms are key in Visualization to achieve real-time interaction with large data-sets. Research has been primarily focused on the off-line...