284 search results - page 16 / 57 » Importance Sampling for Continuous Time Bayesian Networks |
102
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EDBT
2009
ACM
15 years 3 months ago
2009
ACM
With the amount of data in current data warehouse databases growing steadily, random sampling is continuously gaining in importance. In particular, interactive analyses of large d...
100
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CEC
2007
IEEE
2007
IEEE
Mining association rules from databases with continuous attributes using genetic network programming
15 years 3 months ago
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
109
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IJCAI
2007
15 years 1 months ago
2007
Compiling Bayesian networks has proven an effective approach for inference that can utilize both global and local network structure. In this paper, we define a new method of comp...
CEC
2010
IEEE
15 years 28 days ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
103
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FLAIRS
2004
15 years 1 months ago
2004
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...