613 search results - page 1 / 123 » Learning the Structure of Linear Latent Variable Models |
JMLR
2006
13 years 4 months ago
2006
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
JMLR
2007
13 years 4 months ago
2007
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
SPEECH
1998
13 years 4 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
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...