9 search results - page 1 / 2 » A comparison of Bayesian estimators for unsupervised Hidden ... |
EMNLP
2008
13 years 6 months ago
2008
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
NLPRS
2001
Springer
13 years 9 months ago
2001
Springer
We describe a new tagging model where the states of a hidden Markov model (HMM) estimated by unsupervised learning are incorporated as the features in a maximum entropy model. Our...
EMNLP
2009
13 years 2 months ago
2009
We extend previous work on fully unsupervised part-of-speech tagging. Using a non-parametric version of the HMM, called the infinite HMM (iHMM), we address the problem of choosing...
SSIAI
2000
IEEE
13 years 9 months ago
2000
IEEE
This paper deals with the problem of statistical unsupervised fusion of dependent sensors with its potential applications to multisensor image segmentation. On the one hand, Bayes...
ICIP
2006
IEEE
14 years 6 months ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...