73 search results - page 1 / 15 » Large margin training for hidden Markov models with partiall... |
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
SEMCO
2007
IEEE
13 years 10 months ago
2007
IEEE
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
WSDM
2010
ACM
14 years 1 months ago
2010
ACM
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
NIPS
2008
13 years 5 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
ICML
1999
IEEE
14 years 5 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...