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JMLR
2006
125views more  JMLR 2006»
14 years 11 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»
15 years 5 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»
15 years 5 months 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
15 years 5 months 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
16 years 1 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...