Count Data Modeling and Classification Using Finite Mixtures of Distributions

Simplifying Mixture Models Through Function Approximation

(2010) Kai Zhang et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Model-Based Approach for Discrete Data Clustering and Feature Weighting Using MAP and Stochastic Complexity

(2009) N. Bouguila   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Dirichlet Process Mixture of Generalized Dirichlet Distributions for Proportional Data Modeling

(2009) N. Bouguila et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A discrete mixture-based kernel for SVMs: Application to spam and image categorization

(2009) Nizar Bouguila et al.   INFORMATION PROCESSING & MANAGEMENT

Alternative prior assumptions for improving the performance of naïve Bayesian classifiers

(2008) Tzu-Tsung Wong   DATA MINING AND KNOWLEDGE DISCOVERY

Clustering of Count Data Using Generalized Dirichlet Multinomial Distributions

(2008) N. Bouguila   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Discrete data clustering using finite mixture models

(2008) Nizar Bouguila et al.   PATTERN RECOGNITION