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» On the Consistency of Discrete Bayesian Learning
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ICML
2003
IEEE
14 years 1 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
ISCAS
1999
IEEE
132views Hardware» more  ISCAS 1999»
14 years 18 hour ago
Complex discriminative learning Bayesian neural equalizer
Traditional approaches to channel equalization are based on the inversion of the global (linear or nonlinear) channel response. However, in digital links the complete channel inve...
Mirko Solazzi, Aurelio Uncini, Elio D. Di Claudio,...
IJAR
2002
102views more  IJAR 2002»
13 years 7 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
ICML
2005
IEEE
14 years 8 months ago
Computational aspects of Bayesian partition models
The conditional distribution of a discrete variable y, given another discrete variable x, is often specified by assigning one multinomial distribution to each state of x. The cost...
Mikko Koivisto, Kismat Sood
ICRA
2005
IEEE
176views Robotics» more  ICRA 2005»
14 years 1 months ago
Auto-supervised learning in the Bayesian Programming Framework
Domestic and real world robotics requires continuous learning of new skills and behaviors to interact with humans. Auto-supervised learning, a compromise between supervised and co...
Pierre Dangauthier, Pierre Bessière, Anne S...