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149
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ICASSP
2009
IEEE
15 years 8 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
EWSPT
1995
Springer
15 years 8 months ago
Decentralised Process Modelling
In this paper, we advocate decentralised process modelling and suggest that understanding and modelling the development processes of individual development participants is the key ...
Bashar Nuseibeh, Jeff Kramer, Anthony Finkelstein,...
CCE
2008
15 years 4 months ago
Structured modeling for processes: A thermodynamical network theory
We review the use of bond graphs for modeling of physico-chemical processes. We recall that bond graphs define a circuit-type language which root on a thermodynamical consistent d...
Françoise Couenne, Christian Jallut, Bernha...
158
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ICML
2007
IEEE
16 years 5 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
ACL
2006
15 years 6 months ago
A Hierarchical Bayesian Language Model Based On Pitman-Yor Processes
We propose a new hierarchical Bayesian n-gram model of natural languages. Our model makes use of a generalization of the commonly used Dirichlet distributions called Pitman-Yor pr...
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