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Publicationer information ikon

Distributed Bayes Blocks for Variational Bayesian Learning

Referentgranskad
Honkela, Antti
-2006Publicationer information ikon

Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework

Referentgranskad
Harva, M.; Raiko, T.; Honkela, A.; Valpola, H.; Karhunen, J.
-2005Publicationer information ikon

Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes

Referentgranskad
Honkela, Antti; Raiko, Tapani; Kuusela, Mikael; Tornio, Matti; Karhunen, Juha
Journal of Machine Learning Research2010Publicationer information ikon

Variational Bayes Learning from Relevant Tasks Only

Referentgranskad
Peltonen, Jaakko; Yaslan, Yusuf; Kaski, Samuel
-2008Publicationer information ikon

BayesPy Variational Bayesian inference in Python

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

Non-Linear Noise Adaptive Kalman Filtering via Variational Bayes

Referentgranskad
DOI
10.1109/MLSP.2013.6661935
Särkkä, Simo; Hartikainen, Jouni
-2013Publicationer information ikon

Hyperparameter adaptation in variational Bayes for the gamma distribution

Valpola, Harri; Honkela, Antti
-2006Publicationer information ikon

Variational Bayes lostic regression as regularized fusion for NIST Sre 2010

Referentgranskad
Hautamäki Ville, Lee Kong Aik, Larcher Anthony, Kinnunen Tomi, Ma Bin, Li Haizhou
-2012Publicationer information ikon

Variational Bayesian Approach for Nonlinear Identification and Control

Referentgranskad
Tornio, Matti; Raiko, Tapani
Laboratoire d'Automatique de Grenoble2006Publicationer information ikon

A Variational Bayesian Method for Rectified Factor Analysis

Referentgranskad
Harva, M.; Kabán, A.
-2005

Distributed Bayes Blocks for Variational Bayesian Learning

Referentgranskad
2006

Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework

Referentgranskad
2005

Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes

Referentgranskad
2010

Variational Bayes Learning from Relevant Tasks Only

Referentgranskad
2008

BayesPy Variational Bayesian inference in Python

Referentgranskad
Öppen tillgång
2016

Non-Linear Noise Adaptive Kalman Filtering via Variational Bayes

Referentgranskad
DOI
10.1109/MLSP.2013.6661935
2013

Hyperparameter adaptation in variational Bayes for the gamma distribution

2006

Variational Bayes lostic regression as regularized fusion for NIST Sre 2010

Referentgranskad
2012

Variational Bayesian Approach for Nonlinear Identification and Control

Referentgranskad
2006

A Variational Bayesian Method for Rectified Factor Analysis

Referentgranskad
2005