493 search results - page 5 / 99 » Fitting hidden Markov models to psychological data |
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
NIPS
1992
13 years 8 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
EMNLP
2008
13 years 9 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...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Multiview video is increasingly getting attention due to emerging applications such as 3DTV and immersive teleconferencing. In this paper, we present a non-stationary Hidden Marko...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
In prediction with expert advice the goal is to design online prediction algorithms that achieve small regret (additional loss on the whole data) compared to a reference scheme. I...