PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Time-Sensitive Dirichlet Process Mixture Models
Xioajin Zhu, Zoubin Ghahramani and John Lafferty
(2005) Technical Report. Carnegie Mellon University, Pittsburgh, PA.

Abstract

We introduce Time-Sensitive Dirichlet Process Mixture models for clustering. The models allow infinite mixture components just like standard Dirichlet process mixture models. However they also have the ability to model time correlations between instances.

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EPrint Type:Monograph (Technical Report)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:1358
Deposited By:Zoubin Ghahramani
Deposited On:28 November 2005