The dynamic Chinese restaurant process via birth and death processes
Refereed conference paper presented and published in conference proceedings

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AbstractWe develop the Dynamic Chinese Restaurant Process (DCRP) which incorporates time-evolutionary feature in dependent Dirichlet Process mixture models. This model can capture the dynamic change of mixture components, allowing clusters to emerge, vanish and vary over time. All these macroscopic changes are controlled by tracing the birth and death of every single element. We investigate the properties of dependent Dirichlet Process mixture model based on DCRP and develop corresponding Gibbs Sampler for posterior inference. We also conduct simulation and empirical studies to compare this model with traditional CRP and related models. The results show that this model can provide better results for sequential data, especially for data with heterogeneous lifetime distribution.
All Author(s) ListHuang R., Zhu F., Heng P.-A.
Name of Conference29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015
Start Date of Conference25/01/2015
End Date of Conference30/01/2015
Place of ConferenceAustin
Country/Region of ConferenceUnited States of America
Volume Number4
Pages2687 - 2693
LanguagesEnglish-United Kingdom

Last updated on 2020-08-08 at 00:47