523 search results - page 1 / 105 » Hierarchical Mixture Models for Nested Data Structures |
GFKL
2004
Springer
13 years 10 months ago
2004
Springer
A hierarchical extension of the finite mixture model is presented that can be used for the analysis of nested data structures. The model permits a simultaneous model-based cluster...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The four-level pachinko allocation model (PAM) (Li & McCallum, 2006) represents correlations among topics using a DAG structure. It does not, however, represent a nested hiera...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
In this paper we present a new approach to data modelling, called the concept-oriented model (CoM), and describe its main features and characteristics including data semantics and ...
CSR
2007
Springer
13 years 11 months ago
2007
Springer
Traditionally, data that has both linear and hierarchical structure, such as annotated linguistic data, is modeled using ordered trees and queried using tree automata. In this pap...
IPMI
2009
Springer
14 years 5 months ago
2009
Springer
In this paper, we propose a new nonparametric Bayesian framework to cluster white matter fiber tracts into bundles using a hierarchical Dirichlet processes mixture (HDPM) model. Th...