697 search results - page 51 / 140 » Learning a Hidden Hypergraph |
108
Voted
IDEAL
2004
Springer
15 years 6 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...
100
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ICIP
2003
IEEE
16 years 2 months ago
2003
IEEE
In this paper, we describe a retrieval system that uses hidden annotation to improve the performance. The contribution of this paper is a novel active learning framework that can ...
100
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
We propose a new maximum margin discriminative learning algorithm here for classification of temporal signals. It is superior to conventional HMM in the sense that it does not nee...
101
Voted
ICML
2004
IEEE
16 years 1 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
112
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MACE
2009
Springer
15 years 7 months ago
2009
Springer
Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...