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» Selectivity Estimation using Probabilistic Models
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WSC
1997
15 years 1 months ago
Selective Rerouting Using Simulated Steady State System Data
Effective operational control of a manufacturing system that has routing flexibility is dependent upon being able to make informed real-time decisions in the event of a system dis...
Catherine M. Harmonosky, Robert H. Farr, Ming-Chua...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 1 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
IJON
2008
105views more  IJON 2008»
14 years 10 months ago
Estimating the number of components in a mixture of multilayer perceptrons
BIC criterion is widely used by the neural-network community for model selection tasks, although its convergence properties are not always theoretically established. In this paper...
Madalina Olteanu, Joseph Rynkiewicz
ICCAD
1999
IEEE
78views Hardware» more  ICCAD 1999»
15 years 4 months ago
Probabilistic state space search
This paper describes a probabilistic approach to state space search. The presented method applies a ranking of the design states according to their probability of reaching a given...
Andreas Kuehlmann, Kenneth L. McMillan, Robert K. ...
ISMDA
2004
Springer
15 years 5 months ago
Model Selection and Adaptation for Biochemical Pathways
In bioinformatics, biochemical signal pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations...
Rüdiger W. Brause