219 search results - page 2 / 44 » Learning the Dimensionality of Hidden Variables |
NIPS
1998
13 years 7 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...
BIOCOMP
2006
13 years 7 months ago
2006
To improve the recovery of gene-gene and marker-gene (eQTL) interaction networks from microarray and genetic data, we propose a new procedure for learning Bayesian networks. This a...
UAI
2004
13 years 7 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...
WWW
2009
ACM
14 years 6 months ago
2009
ACM
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
NIPS
2000
13 years 7 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...