115 search results - page 1 / 23 » Discriminative simplification of mixture models |
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
Presentation
Presentation of the exponential families, of the mixtures of such distributions and how to learn it. We then present algorithms to simplify mixture model, using Kullback-Leibler di...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
We report on work in progress on extracting lexical simplifications (e.g., "collaborate" "work together"), focusing on utilizing edit histories in Simple Engli...
NIPS
2000
13 years 6 months ago
2000
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
CSDA
2006
13 years 4 months ago
2006
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...