243 search results - page 4 / 49 » Non-linear regression models for Approximate Bayesian Comput... |
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Classic mixture models assume that the prevalence of the various mixture components is fixed and does not vary over time. This presents problems for applications where the goal is...
MA
2010
Springer
13 years 5 months ago
2010
Springer
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
JMLR
2010
13 years 2 months ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
NIPS
2003
13 years 8 months ago
2003
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
ICCSA
2003
Springer
14 years 21 days 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...