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UAI
2003
15 years 6 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
ECAI
2010
Springer
15 years 6 months ago
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
In the last decades enormous advances have been made possible for modelling complex (physical) systems by mathematical equations and computer algorithms. To deal with very long run...
Perry Groot, Adriana Birlutiu, Tom Heskes
170
Voted
INFORMATICALT
2006
100views more  INFORMATICALT 2006»
15 years 5 months ago
Optimal Agreement in a Scale-Free Network Environment
Generally, the task in a distributed system must achieve an agreement. It requires a set of processors to agree on a common value even if some components are corrupted. There are s...
Shu-Ching Wang, Kuo-Qin Yan, Mao-Lun Chiang
MONET
2006
141views more  MONET 2006»
15 years 5 months ago
An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
Ritesh Madan, Sanjay Lall
144
Voted
CMOT
2002
112views more  CMOT 2002»
15 years 4 months ago
Finding Optimal Targets for Change Agents: A Computer Simulation of Innovation Diffusion
We introduce a diffusion of innovation model based on a network threshold approach. Realistic network and threshold data were gathered regarding the diffusion of new software tool...
Dirk Maienhofer, Thomas A. Finholt