73 search results - page 6 / 15 » Large margin training for hidden Markov models with partiall... |
CSL
2010
Springer
2010
Springer
The Hidden Information State model: A practical framework for POMDP-based spoken dialogue management
13 years 7 months ago
This paper explains how Partially Observable Markov Decision Processes (POMDPs) can provide a principled mathematical framework for modelling the inherent uncertainty in spoken di...
NLPRS
2001
Springer
14 years 2 days 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...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ICPR
2000
IEEE
14 years 1 days ago
2000
IEEE
This paper presents a Hidden Markov Mesh Random Field (HMMRF) based approach for off-line handwritten Chinese characters recognition using statistical observation sequences embedd...
CSL
2004
Springer
13 years 7 months ago
2004
Springer
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...