1023 search results - page 29 / 205 » Graph model selection using maximum likelihood |
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper we discuss a general framework for feature selection based on nonparametric statistics. The three stage approach we propose is based on the assumption that the avail...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Gaussian mixture model - universal background model (GMMUBM) is a standard reference classifier in speaker verification. We have recently proposed a simplified model using vect...
ICML
1999
IEEE
14 years 8 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...
NLPRS
2001
Springer
13 years 12 months ago
2001
Springer
In this project report we describe work in statistical parsing using the maximum entropy technique and the Alpino language analysis system for Dutch. A major difficulty in this d...