157 search results - page 27 / 32 » Anomaly Detection Using Unsupervised Profiling Method in Tim... |
VLDB
2005
ACM
15 years 2 months ago
2005
ACM
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
GLOBECOM
2007
IEEE
15 years 3 months ago
2007
IEEE
— In wireless communications, shadow fading can cause at least 6 dB power loss for 10% of the time [1]. Early detection of shadow fading plays an important part in facilitating t...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
CSDA
2006
14 years 9 months ago
2006
The Hurst parameter H characterizes the degree of long-range dependence (and asymptotic selfsimilarity) in stationary time series. Many methods have been developed for the estimat...
118
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ESANN
2006
14 years 10 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...