Generative models for discovering sparse distributed representations (1997)

by Geoffrey E. Hinton , Zoubin Ghahramani
Venue:Philosophical Transactions of the Royal Society B
Citations:119 - 5 self

Active Bibliography

194 The Helmholtz Machine – Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel - 1995
3 Recognition in hierarchical models – Peter Dayan - 1997
20 Low Entropy Coding with Unsupervised Neural Networks – George Francis Harpur
23 Unsupervised Neural Network Learning Procedures . . . – Suzanna Becker, Mark Plumbley - 1996
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
4 Recurrent Sampling Models for the Helmholtz Machine – Peter Dayan - 1999
17 Variational learning in non-linear Gaussian belief networks – Brendan J. Frey, Geoffrey E. Hinton - 1999
24 Factor analysis using delta-rule wake-sleep learning – Radford M. Neal, Peter Dayan - 1997
14 Efficient Encoding of Natural Time Varying Images Produces Oriented Space-Time Receptive Fields – Rajesh P.N. Rao, Dana H. Ballard - 1997
12 Towards Perceptual Intelligence: Statistical Modeling of Human Individual and Interactive Behaviors – Nuria M. Oliver - 1995
71 Face Image Analysis by Unsupervised Learning and Redundancy Reduction – Marian Stewart Bartlett - 1998
2 Variational inference for continuous sigmoidal Bayesian networks – Brendan J. Frey - 1996
1 Factor Analysis Using Batch and Online EM – Brendan J. Frey - 1999
Representational Learning – Ar Ni Ng
1 Massively Parallel Probabilistic Reasoning with Boltzmann Machines – Petri Myllymäki - 1999
8 An Introduction to Variational Methods for Graphical Methods – Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul - 1998
Zdzisław and Jadwiga, – Richard Szeliski, Stephen Iv
2 Learning to Parse Images – Yee Whye Teh - 2000
11 A Mean Field Learning Algorithm For Unsupervised Neural Networks – Lawrence Saul, Michael Jordan - 1999