The following pages link to (Q4576271):
Displaying 27 items.
- A probability for classification based on the Dirichlet process mixture model (Q286630) (← links)
- Selecting the precision parameter prior in Dirichlet process mixture models (Q419318) (← links)
- A possibilistic clustering approach toward generative mixture models (Q763363) (← links)
- An improved collapsed Gibbs sampler for Dirichlet process mixing models (Q959192) (← links)
- Bayesian regularization for normal mixture estimation and model-based clustering (Q1015452) (← links)
- Analysis of the maximal a posteriori partition in the Gaussian Dirichlet process mixture model (Q1738145) (← links)
- On choosing the centering distribution in Dirichlet process mixture models (Q1779671) (← links)
- Optimal Bayesian clustering using non-negative matrix factorization (Q1796973) (← links)
- Mean field inference for the Dirichlet process mixture model (Q1951990) (← links)
- Dirichlet process and its developments: a survey (Q2080929) (← links)
- Nonparametric bagging clustering methods to identify latent structures from a sequence of dependent categorical data (Q2084068) (← links)
- Bayesian inference for infinite asymmetric Gaussian mixture with feature selection (Q2099966) (← links)
- Infinite Dirichlet mixture models learning via expectation propagation (Q2256784) (← links)
- Bayesian nonparametric clustering for large data sets (Q2329761) (← links)
- Non-parametric clustering over user features and latent behavioral functions with dual-view mixture models (Q2358914) (← links)
- The determination of uncertainty levels in robust clustering of subjects with longitudinal observations using the Dirichlet process mixture (Q2418281) (← links)
- Modeling individual differences using Dirichlet processes (Q2507904) (← links)
- Nonlinear models using Dirichlet process mixtures (Q2880950) (← links)
- Bayesian Mixture Labeling and Clustering (Q2903830) (← links)
- A predictive study of Dirichlet process mixture models for curve fitting (Q2922155) (← links)
- Bayesian non-parametrics and the probabilistic approach to modelling (Q2955477) (← links)
- A New Bayesian Nonparametric Mixture Model (Q3577190) (← links)
- Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm (Q4970799) (← links)
- (Q4998918) (← links)
- Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease (Q5127104) (← links)
- (Q5490494) (← links)
- Switching and Learning in Feedback Systems (Q5710858) (← links)
