157 search results - page 1 / 32 » Posterior Regularization for Structured Latent Variable Mode... |
JMLR
2010
14 years 6 months ago
2010
NIPS
2007
15 years 23 days 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
15 years 21 days 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
15 years 23 days 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
16 years 4 days 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 ...