523 search results - page 33 / 105 » Hierarchical Mixture Models for Nested Data Structures |
JMLR
2010
13 years 3 months ago
2010
A non-parametric hierarchical Bayesian framework is developed for designing a classifier, based on a mixture of simple (linear) classifiers. Each simple classifier is termed a loc...
DAGM
2004
Springer
14 years 1 months ago
2004
Springer
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
VIS
2006
IEEE
14 years 9 months ago
2006
IEEE
With the explosive growth of proteomic and expression data of homologous genes, it becomes necessary to explore new methods to visualize and analyze related gene expression data t...
TSP
2008
13 years 7 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
DILS
2006
Springer
14 years 5 days ago
2006
Springer
Scientific experiments are becoming increasingly large and complex, with a commensurate increase in the amount and complexity of data generated. Data, both intermediate and final r...