153 search results - page 1 / 31 » Learning a Continuous Hidden Variable Model for Binary Data |
NIPS
1998
13 years 6 months ago
1998
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
NIPS
1996
13 years 6 months ago
1996
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...
ICRA
2007
IEEE
13 years 11 months ago
2007
IEEE
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
UAI
2004
13 years 6 months ago
2004
In recent years, there is a growing interest in learning Bayesian networks with continuous variables. Learning the structure of such networks is a computationally expensive proced...