1274 search results - page 79 / 255 » Network performance monitoring at small time scales |
141
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ICDE
2007
IEEE
16 years 15 days ago
2007
IEEE
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
162
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Anomaly detection in multivariate time series is an important data mining task with applications to ecosystem modeling, network traffic monitoring, medical diagnosis, and other d...
152
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ECAI
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. Algorithms for probabilistic inference in Bayesian networks are known to have running times that are worst-case exponential in the size of the network. For networks with ...
186
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ICANN
2001
Springer
15 years 10 months ago
2001
Springer
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
176
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ICANN
2005
Springer
15 years 11 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...