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HICSS
2006
IEEE
152views Biometrics» more  HICSS 2006»
15 years 9 months ago
Distributed Uniform Sampling in Unstructured Peer-to-Peer Networks
— Uniform sampling in networks is at the core of a wide variety of randomized algorithms. Random sampling can be performed by modeling the system as an undirected graph with asso...
Asad Awan, Ronaldo A. Ferreira, Suresh Jagannathan...
137
Voted
SPRINGSIM
2010
15 years 1 months ago
Using factored bond graphs for distributed diagnosis of physical systems
This paper presents a distributed Bayesian fault diagnosis scheme for physical systems. Our diagnoser design is based on a procedure for factoring the global system bond graph (BG...
Indranil Roychoudhury, Gautam Biswas, Xenofon D. K...
118
Voted
AIPS
2004
15 years 4 months ago
Learning Domain-Specific Control Knowledge from Random Walks
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
Alan Fern, Sung Wook Yoon, Robert Givan
138
Voted
APCCM
2009
15 years 4 months ago
Conceptional Modeling and Analysis of Spatio-Temporal Processes in Biomolecular Systems
In life science, deeper understanding of biomolecular systems is acquired by computational modeling and analysis. For the modeling of several kinds of reaction networks, e.g. sign...
Andreas Schäfer, Mathias John
142
Voted
UAI
2004
15 years 4 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani