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Juha Karhunen | Antti Honkela | Tapani Raiko | Markus Harva | Harri Valpola | J. Karhunen | T. Raiko | H. Valpola | A. Honkela | M. Harva
[1] Antti Honkela,et al. Variational learning and bits-back coding: an information-theoretic view to Bayesian learning , 2004, IEEE Transactions on Neural Networks.
[2] Lucas C. Parra,et al. Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals , 2000, NIPS.
[3] Juha Karhunen,et al. Building Blocks for Variational Bayesian Learning of Latent Variable Models , 2007, J. Mach. Learn. Res..
[4] J. Karhunen,et al. Nonlinear Independent Factor Analysis by Hierarchical Models , 2003 .
[5] Ralph Johnson,et al. design patterns elements of reusable object oriented software , 2019 .
[6] J. Karhunen,et al. Building Blocks for Hierarchical Latent Variable Models , 2001 .
[7] Hagai Attias,et al. Independent Factor Analysis , 1999, Neural Computation.
[8] D. Ruderman,et al. Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[9] David Barber,et al. Ensemble Learning for Multi-Layer Networks , 1997, NIPS.
[10] Juha Karhunen,et al. Hierarchical models of variance sources , 2004, Signal Process..
[11] Juha Karhunen,et al. Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches , 2003, Neural Processing Letters.
[12] Charles M. Bishop,et al. Variational Message Passing , 2005, J. Mach. Learn. Res..
[13] Juha Karhunen,et al. An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models , 2002, Neural Computation.
[14] Kevin Murphy,et al. Bayes net toolbox for Matlab , 1999 .
[15] David J. Spiegelhalter,et al. VIBES: A Variational Inference Engine for Bayesian Networks , 2002, NIPS.
[16] Astronomy,et al. A data-driven Bayesian approach for finding young stellar populations in early-type galaxies from their ultraviolet-optical spectra , 2005, astro-ph/0511503.
[17] Robert Cowell,et al. Introduction to Inference for Bayesian Networks , 1998, Learning in Graphical Models.
[18] Markus Harva,et al. Hierarchical Variance Models of Image Sequences , 2004 .
[19] A. Kabán,et al. A variational Bayesian method for rectified factor analysis , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
[20] Geoffrey E. Hinton,et al. Variational Learning for Switching State-Space Models , 2000, Neural Computation.
[21] T. Raiko,et al. Partially observed values , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[22] Juha Karhunen,et al. Missing Values in Hierarchical Nonlinear Factor Analysis , 2003 .
[23] Antti Honkela,et al. Bayes Blocks Software Library , 2003 .