604 search results - page 84 / 121 » Bayesian inference on biopolymer models |
EOR
2006
13 years 7 months ago
2006
A stochastic formulation of the Analytic Hierarchy Process (AHP) using an approach based on Bayesian categorical data models has been developed. However, in categorical data model...
JMLR
2010
13 years 2 months ago
2010
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
RECOMB
2004
Springer
14 years 8 months ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
JMLR
2010
13 years 2 months ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...