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JMLR
2006
125views more  JMLR 2006»
13 years 7 months ago
Linear Programming Relaxations and Belief Propagation - An Empirical Study
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...
Chen Yanover, Talya Meltzer, Yair Weiss
WABI
2007
Springer
157views Bioinformatics» more  WABI 2007»
14 years 1 months ago
Composing Globally Consistent Pathway Parameter Estimates Through Belief Propagation
Abstract. Parameter estimation of large bio-pathway models is an important and difficult problem. To reduce the prohibitive computational cost, one approach is to decompose a large...
Geoffrey Koh, Lisa Tucker-Kellogg, David Hsu, P. S...
GECCO
2003
Springer
147views Optimization» more  GECCO 2003»
14 years 18 days ago
Developing an Immunity to Spam
Immune systems protect animals from pathogens, so why not apply a similar model to protect computers? Several researchers have investigated the use of an artificial immune system ...
Terri Oda, Tony White
ICCS
2004
Springer
14 years 23 days ago
Agent-Based Simulation of Data-Driven Fire Propagation Dynamics
Real world problems such as fire propagation prediction, can often be considered as a compositional combination of multiple, simple but coupled subproblems corresponding to analyt...
John Michopoulos, Panagiota Tsompanopoulou, Elias ...
ECCV
2006
Springer
14 years 9 months ago
Efficient Belief Propagation with Learned Higher-Order Markov Random Fields
Belief propagation (BP) has become widely used for low-level vision problems and various inference techniques have been proposed for loopy graphs. These methods typically rely on a...
Xiangyang Lan, Stefan Roth, Daniel P. Huttenlocher...