20833 search results - page 154 / 4167 » Hidden process models |
IDEAL
2004
Springer
15 years 3 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
CVPR
2007
IEEE
16 years 3 days ago
2007
IEEE
Many problems in vision involve the prediction of a class label for each frame in an unsegmented sequence. In this paper, we develop a discriminative framework for simultaneous se...
112
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ESEM
2007
ACM
15 years 2 months ago
2007
ACM
This paper focuses on in-process measurements during requirements definition where measurements of processes and products are relatively difficult. However, development processes ...
GECCO
2005
Springer
15 years 3 months ago
2005
Springer
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
108
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NIPS
2004
14 years 11 months ago
2004
Directed graphical models with one layer of observed random variables and one or more layers of hidden random variables have been the dominant modelling paradigm in many research ...