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MDAI
2009
Springer
13 years 10 months ago
Using Conditional Random Fields for Decision-Theoretic Planning
We propose a means of extending Conditional Random Field modeling to decision-theoretic planning where valuation is dependent upon fullyobservable factors. Representation is discu...
Paul A. Ardis, Christopher M. Brown
UAI
1997
13 years 5 months ago
Correlated Action Effects in Decision Theoretic Regression
Much recent research in decision theoretic planning has adopted Markov decision processes (MDPs) as the model of choice, and has attempted to make their solution more tractable by...
Craig Boutilier
CVBIA
2005
Springer
13 years 9 months ago
Segmenting Brain Tumors with Conditional Random Fields and Support Vector Machines
Abstract. Markov Random Fields (MRFs) are a popular and wellmotivated model for many medical image processing tasks such as segmentation. Discriminative Random Fields (DRFs), a dis...
Chi-Hoon Lee, Mark Schmidt, Albert Murtha, Aalo Bi...
ICASSP
2008
IEEE
13 years 10 months ago
Maximum conditional likelihood linear regression and maximum a posteriori for hidden conditional random fields speaker adaptatio
This paper shows how to improve Hidden Conditional Random Fields (HCRFs) for phone classification by applying various speaker adaptation techniques. These include Maximum A Poste...
Yun-Hsuan Sung, Constantinos Boulis, Daniel Jurafs...
ICCV
2005
IEEE
14 years 5 months ago
Scale-Invariant Contour Completion Using Conditional Random Fields
Xiaofeng Ren, Charless Fowlkes, Jitendra Malik