157 search results - page 9 / 32 » Anomaly Detection Using Unsupervised Profiling Method in Tim... |
ICANN
2009
Springer
2009
Springer
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
15 years 1 months ago
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
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ISBRA
2010
Springer
14 years 8 months ago
2010
Springer
A popular model for gene regulatory networks is the Boolean network model. In this paper, we propose an algorithm to perform an analysis of gene regulatory interactions using the B...
INFOCOM
2009
IEEE
15 years 4 months ago
2009
IEEE
Abstract—Detecting the occurrence and location of performance anomalies (e.g., high jitter or loss events) is critical to ensuring the effective operation of network infrastructu...
SIGPRO
2008
14 years 9 months ago
2008
This paper introduces a novel method for real-time estimation of slowly varying parameters in nonlinear dynamical systems. The core concept is built upon the principles of symboli...
DATAMINE
2008
14 years 9 months ago
2008
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...