493 search results - page 73 / 99 » Fitting hidden Markov models to psychological data |
BMCBI
2005
13 years 8 months ago
2005
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
ICML
1998
IEEE
14 years 9 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
KDD
2009
ACM
14 years 1 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
We investigate the issue of sign language automatic phonetic subunit modeling, that is completely data driven and without any prior phonetic information. A first step of visual p...