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A Survey of Non-Exchangeable Priors for Bayesian Nonparametric Models
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Nicholas J. Foti,Sinead A. Williamson
Issue Date:November 2013
pp. 1
Dependent nonparametric processes extend distributions over measures, such as the Dirichlet process and the beta process, to give distributions over collections of measures, typically indexed by values in some covariate space. Such models are appropriate p...
Statistical models for partial membership
Found in: Proceedings of the 25th international conference on Machine learning (ICML '08)
By Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani
Issue Date:July 2008
pp. 392-399
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs to one and only one mixture component, or cluster, a partial membership model...