59 search results - page 7 / 12 » Bayesian Hierarchical Mixtures of Experts |
NIPS
2004
13 years 9 months ago
2004
We propose the hierarchical Dirichlet process (HDP), a nonparametric Bayesian model for clustering problems involving multiple groups of data. Each group of data is modeled with a...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper studies a hierarchical Bayesian model for nonlinear hyperspectral image unmixing. The proposed model assumes that the pixel reflectances are polynomial functions of li...
CSDA
2008
13 years 7 months ago
2008
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
NIPS
1998
13 years 9 months ago
1998
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
AAAI
2010
13 years 9 months ago
2010
Constructing models of mobile agents can be difficult without domain-specific knowledge. Parametric models flexible enough to capture all mobility patterns that an expert believes...