698 search results - page 47 / 140 » Bayesian probability |
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
TREC
2003
13 years 10 months ago
2003
Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers,...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
GECCO
2006
Springer
14 years 21 days ago
2006
Springer
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
AUSAI
2006
Springer
14 years 24 days ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...