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NIPS
2007
15 years 4 months ago
Random Sampling of States in Dynamic Programming
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
Christopher G. Atkeson, Benjamin Stephens
117
Voted
MVA
1998
230views Computer Vision» more  MVA 1998»
15 years 4 months ago
An Efficient Matching Algorithm for Segment-Based Stereo Vision Using Dynamic Programming Technique
An efficient matching method for segment-based stereo vision is proposed. A potential matching graph which describes the connectivity between candidate matching pairs of segments ...
Toshio Ueshiba, Yoshihiro Kawai, Yasushi Sumi, Fum...
CORR
2007
Springer
94views Education» more  CORR 2007»
15 years 3 months ago
Paging and Registration in Cellular Networks: Jointly Optimal Policies and an Iterative Algorithm
— This paper explores optimization of paging and registration policies in cellular networks. Motion is modeled as a discrete-time Markov process, and minimization of the discount...
Bruce Hajek, Kevin Mitzel, Sichao Yang
138
Voted
TKDE
2008
218views more  TKDE 2008»
15 years 3 months ago
A General Model for Sequential Pattern Mining with a Progressive Database
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-S...
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 10 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...