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CSDA
2006
109views more  CSDA 2006»
14 years 11 months ago
Possibility theory and statistical reasoning
Numerical possibility distributions can encode special convex families of probability measures. The connection between possibility theory and probability theory is potentially fru...
Didier Dubois
ATAL
2005
Springer
15 years 5 months ago
A probabilistic approach to resource allocation in distributed fusion systems
In complex multi-agent fusion systems resource conflicts are very likely to occur. We propose an algorithm that determines the optimal sensing resource to fusion task assignment,...
Jan Nunnink, Gregor Pavlin
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 22 days ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
BMCBI
2010
229views more  BMCBI 2010»
14 years 11 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
UAI
2004
15 years 1 months ago
A New Characterization of Probabilities in Bayesian Networks
We characterize probabilities in Bayesian networks in terms of algebraic expressions called quasi-probabilities. These are arrived at by casting Bayesian networks as noisy AND-OR-...
Lenhart K. Schubert