68 search results - page 3 / 14 » The Dirichlet Markov Ensemble |
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
A new hierarchical nonparametric Bayesian model is proposed for the problem of multitask learning (MTL) with sequential data. Sequential data are typically modeled with a hidden M...
ISAAC
2003
Springer
14 years 17 days ago
2003
Springer
Abstract. In this paper, we propose a Markov chain for sampling a random vector distributed according to a discretized Dirichlet distribution. We show that our Markov chain is rapi...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
IJCV
2008
13 years 6 months ago
2008
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...