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» Dirichlet process mixture models with multiple modalities
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SDM
2008
SIAM
256views Data Mining» more  SDM 2008»
13 years 10 months ago
Graph Mining with Variational Dirichlet Process Mixture Models
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
Koji Tsuda, Kenichi Kurihara
TSP
2008
154views more  TSP 2008»
13 years 8 months ago
Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures
Francois Caron, Manuel Davy, Arnaud Doucet, Emmanu...
JCB
2007
191views more  JCB 2007»
13 years 8 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 8 months ago
A Bayesian Review of the Poisson-Dirichlet Process
The two parameter Poisson-Dirichlet process is also known as the PitmanYor Process and related to the Chinese Restaurant Process, is a generalisation of the Dirichlet Process, and...
Wray L. Buntine, Marcus Hutter