1014 search results - page 145 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
BMCBI
2007
13 years 7 months ago
2007
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
SARA
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. The presence of long gaps dramatically increases the difficulty of detecting and characterizing complex events hidden in long sequences. In order to cope with this proble...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Most tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework called Hidden Markov Model, where the distribution of the object state a...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...