157 search results - page 1 / 32 » Posterior Regularization for Structured Latent Variable Mode... |
JMLR
2010
12 years 11 months ago
2010
NIPS
2007
13 years 6 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...
UAI
2000
13 years 6 months ago
2000
In many domains, we are interested in analyzing the structure of the underlying distribution, e.g., whether one variable is a direct parent of the other. Bayesian model selection a...
NIPS
2007
13 years 6 months ago
2007
We demonstrate that log-linear grammars with latent variables can be practically trained using discriminative methods. Central to efficient discriminative training is a hierarchi...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...