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ML
2012
ACM
385views Machine Learning» more  ML 2012»
12 years 25 days ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
KI
2009
Springer
13 years 11 months ago
Variational Bayes for Generic Topic Models
The article contributes a derivation of variational Bayes for a large class of topic models by generalising from the well-known model of latent Dirichcation. For an abstraction of ...
Gregor Heinrich, Michael Goesele
ICASSP
2010
IEEE
13 years 5 months ago
Using online model comparison in the Variational Bayes framework for online unsupervised Voice Activity Detection
This paper presents the use of online Variational Bayes method for online Voice Activity Detection (VAD) in an unsupervised context. In conventional VAD, the final step often rel...
David Cournapeau, Shinji Watanabe, Atsushi Nakamur...
ICASSP
2008
IEEE
13 years 11 months ago
Using variational bayes free energy for unsupervised voice activity detection
This paper addresses the problem of Voice Active Detection (VAD) in noisy environments. We introduce Variational Bayes approach to EM for classification to replace the heuristic ...
David Cournapeau, Tatsuya Kawahara
TFS
2010
117views Education» more  TFS 2010»
12 years 12 months ago
Variational Bayes for a Mixed Stochastic/Deterministic Fuzzy Filter
Abstract--This study, under the variational Bayes (VB) framework, infers the parameters of a Takagi
Mohit Kumar, Norbert Stoll, Regina Stoll