184 search results - page 13 / 37 » Hidden Markov models with set-valued parameters |
22
Voted
ACL
1997
13 years 11 months ago
1997
A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract mea...
ICML
2001
IEEE
14 years 10 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...
CVPR
1998
IEEE
14 years 11 months ago
1998
IEEE
In previous work [14], we modify the hidden Markov model (HMM) framework to incorporate a global parametric variation in the output probabilities of the states of the HMM. Develop...
BMCBI
2005
13 years 9 months ago
2005
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
BMCBI
2005
13 years 9 months ago
2005
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...