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Publicationer information ikon

On-line Variational Bayesian Learning

Referentgranskad
Honkela, Antti; Valpola, H.
-2003Publicationer information ikon

Distributed Bayes Blocks for Variational Bayesian Learning

Referentgranskad
Honkela, Antti
-2006Publicationer information ikon

Unsupervised Variational Bayesian Learning of Nonlinear Models

Referentgranskad
Honkela, A.; Valpola, H.
MIT PRESS2005Publicationer information ikon

Nonlinear Blind Source Separation by Variational Bayesian Learning

Referentgranskad
Valpola, Harri; Oja, E.; Ilin, A.; Honkela, A.; Karhunen, J.
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences2003Publicationer information ikon

Post-Nonlinear Independent Component Analysis by Variational Bayesian Learning

Referentgranskad
Ilin, A.; Honkela, A.
-2004Publicationer information ikon

Transformations in variational Bayesian factor analysis to speed up learning

Referentgranskad
DOI
10.1016/j.neucom.2009.11.018
Luttinen, Jaakko; Ilin, Alexander
Neurocomputing2010Publicationer information ikon

Variational Learning and Bits-Back Coding: An Information-Theoretic View to Bayesian Learning

Referentgranskad
Honkela, A.; Valpola, H.
IEEE Transactions on Neural Networks2004Publicationer information ikon

BayesPy Variational Bayesian inference in Python

Referentgranskad
Öppen tillgång
Luttinen, Jaakko
Journal of Machine Learning Research2016Publicationer information ikon

Building Blocks for Variational Bayesian Learning of Latent Variable Models

Referentgranskad
Raiko, Tapani; Valpola, Harri; Harva, Markus; Karhunen, Juha
Journal of Machine Learning Research2007Publicationer information ikon

Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method

Referentgranskad
Honkela, A.; Harmeling, S.; Lundqvist, L.; Valpola, H.
SPRINGER2004

On-line Variational Bayesian Learning

Referentgranskad
2003

Distributed Bayes Blocks for Variational Bayesian Learning

Referentgranskad
2006

Unsupervised Variational Bayesian Learning of Nonlinear Models

Referentgranskad
2005

Nonlinear Blind Source Separation by Variational Bayesian Learning

Referentgranskad
2003

Post-Nonlinear Independent Component Analysis by Variational Bayesian Learning

Referentgranskad
2004

Transformations in variational Bayesian factor analysis to speed up learning

Referentgranskad
DOI
10.1016/j.neucom.2009.11.018
2010

Variational Learning and Bits-Back Coding: An Information-Theoretic View to Bayesian Learning

Referentgranskad
2004

BayesPy Variational Bayesian inference in Python

Referentgranskad
Öppen tillgång
2016

Building Blocks for Variational Bayesian Learning of Latent Variable Models

Referentgranskad
2007

Using Kernel PCA for Initialisation of Variational Bayesian Nonlinear Blind Source Separation Method

Referentgranskad
2004