90 search results - page 14 / 18 » A dynamic Bayesian network to represent discrete duration mo... |
JMLR
2010
14 years 4 months ago
2010
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
77
Voted
AI
2000
Springer
14 years 9 months ago
2000
Springer
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
WSC
1997
14 years 11 months ago
1997
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...