2868 search results - page 346 / 574 » Inference in Bayesian Networks |
155
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ICANN
2001
Springer
15 years 10 months ago
2001
Springer
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
174
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ITS
2010
Springer
15 years 11 months ago
2010
Springer
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
137
Voted
ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
159
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PKDD
2009
Springer
16 years 20 days ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
203
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PR
2011
14 years 9 months ago
2011
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempo...