101 search results - page 2 / 21 » Learning to Cluster Using High Order Graphical Models with L... |
116
Voted
NIPS
2007
15 years 4 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
112
Voted
PVLDB
2010
15 years 1 months ago
2010
This paper describes a high performance sampling architecture for inference of latent topic models on a cluster of workstations. Our system is faster than previous work by over an...
139
Voted
JMLR
2012
13 years 5 months ago
2012
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
128
Voted
GRC
2010
IEEE
15 years 3 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
136
Voted
UAI
2008
15 years 4 months ago
2008
Assume that cause-effect relationships between variables can be described as a directed acyclic graph and the corresponding linear structural equation model We consider the identi...