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Monday 26 May 2008, 11:15-12:15
Journal Club: The Dynamic Hierarchical Dirichlet Process
- đ¤ Speaker: Oliver Stegle (University of Cambridge)
- đ Date & Time: Monday 26 May 2008, 11:15 - 12:15
- đ Venue: TCM Seminar Room, Cavendish Laboratory, Department of Physics
Abstract
Journal Club on the ICML08 paper “The Dynamic Hierarchical Dirichlet Process”. (http://www.ece.duke.edu/~lcarin/dHDP_ICMLv7.pdf)
The dynamic hierarchical Dirichlet process (dHDP) is developed to model the time- evolving statistical properties of sequential data sets. The data collected at any time point are represented via a mixture associ- ated with an appropriate underlying model, in the framework of HDP . The statistical properties of data collected at consecutive time points are linked via a random parame- ter that controls their probabilistic similar- ity. The sharing mechanisms of the time- evolving data are derived, and a relatively simple Markov Chain Monte Carlo sampler is developed. Experimental results are pre- sented to demonstrate the model.
Series This talk is part of the Machine Learning Journal Club series.
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