697 search results - page 8 / 140 » Learning a Hidden Hypergraph |
IJCAI
2001
13 years 8 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
FLAIRS
2008
13 years 9 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
CSL
2007
Springer
2007
Springer
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation
13 years 7 months ago
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
PAMI
2006
13 years 7 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...