12 search results - page 1 / 3 » Bayesian Network and Nonparametric Heteroscedastic Regressio... |
CSB
2002
IEEE
13 years 10 months ago
2002
IEEE
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
JMLR
2012
11 years 7 months ago
2012
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
ICCSA
2003
Springer
13 years 10 months ago
2003
Springer
—Recently, Bayesian probabilistic models have been used for predicting software development effort. One of the reasons for the interest in the use of Bayesian probabilistic model...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
FSS
2006
13 years 4 months ago
2006
In this paper we propose a new nonparametric regression algorithm based on Fuzzy systems with overlapping concepts. We analyze its consistency properties, showing that it is capab...