530 search results - page 23 / 106 » Dirichlet Process Mixtures of Generalized Linear Models |
174
Voted
ICIP
2001
IEEE
16 years 3 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
139
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SDM
2007
SIAM
15 years 3 months ago
2007
SIAM
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
ITCC
2003
IEEE
15 years 7 months ago
2003
IEEE
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
104
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TASLP
2010
14 years 8 months ago
2010
Abstract--We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of sourc...
CSDA
2007
15 years 1 months ago
2007
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...