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UAI
2008
13 years 11 months ago
Partitioned Linear Programming Approximations for MDPs
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...
Branislav Kveton, Milos Hauskrecht
CORR
2010
Springer
95views Education» more  CORR 2010»
13 years 10 months ago
Non Uniform Selection of Solutions for Upper Bounding the 3-SAT Threshold
We give a new insight into the upper bounding of the 3-SAT threshold by the first moment method. The best criteria developed so far to select the solutions to be counted discrimina...
Thomas Hugel, Yacine Boufkhad
BMCBI
2008
98views more  BMCBI 2008»
13 years 10 months ago
Empirical Bayes models for multiple probe type microarrays at the probe level
Background: When analyzing microarray data a primary objective is often to find differentially expressed genes. With empirical Bayes and penalized t-tests the sample variances are...
Magnus Åstrand, Petter Mostad, Mats Rudemo
AVSS
2007
IEEE
14 years 4 months ago
Midground object detection in real world video scenes
Traditional video scene analysis depends on accurate background modeling to identify salient foreground objects. However, in many important surveillance applications, saliency is ...
Brian Valentine, Senyo Apewokin, Linda M. Wills, D...
VISUALIZATION
2005
IEEE
14 years 3 months ago
Scale-Invariant Volume Rendering
As standard volume rendering is based on an integral in physical space (or “coordinate space”), it is inherently dependent on the scaling of this space. Although this dependen...
Martin Kraus