509 search results - page 4 / 102 » Using Learning for Approximation in Stochastic Processes |
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ECML
2005
Springer
15 years 5 months ago
2005
Springer
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
CMSB
2009
Springer
15 years 6 months ago
2009
Springer
Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time st...
ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
The problemof structurefrom motion (SFM)is to extract the three-dimensionalmodel of a moving scene from a sequence of images. Though two images are sufficient to produce a 3D reco...
ESANN
2004
15 years 1 months ago
2004
FAMR (Fuzzy ARTMAP with Relevance factor) is a FAM (Fuzzy ARTMAP) neural network used for classification, probability estimation [3], [2], and function approximation [4]. FAMR uses...