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ORL
2010
167views more  ORL 2010»
13 years 2 months ago
An embedded Markov chain approach to stock rationing
Rationing is an inventory policy that allows prioritization of demand classes. It enables the inventory system to provide higher service levels for critical demand classes. In thi...
Mehmet Murat Fadiloglu, Önder Bulut
ECCV
2010
Springer
14 years 24 days ago
Learning What and How of Contextual Models for Scene Labeling
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
NIPS
2001
13 years 9 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
BMCBI
2006
147views more  BMCBI 2006»
13 years 7 months ago
A hidden Markov model approach for determining expression from genomic tiling micro arrays
Background: Genomic tiling micro arrays have great potential for identifying previously undiscovered coding as well as non-coding transcription. To-date, however, analyses of thes...
Kasper Munch, Paul P. Gardner, Peter Arctander, An...
COMPLIFE
2006
Springer
13 years 11 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...