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» Prediction on Spike Data Using Kernel Algorithms
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124
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SDM
2009
SIAM
291views Data Mining» more  SDM 2009»
15 years 12 months ago
Detection and Characterization of Anomalies in Multivariate Time Series.
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...
Christopher Potter, Haibin Cheng, Pang-Ning Tan, S...
94
Voted
ESANN
2000
15 years 4 months ago
Committee formation for reliable and accurate neural prediction in industry
Abstract. This paper describes "cranking", a new committee formation algorithm. Cranking results in accurate and reliable committee predictions, even when applied to comp...
Peter J. Edwards, Alan F. Murray
148
Voted
JSS
2002
198views more  JSS 2002»
15 years 2 months ago
Automated discovery of concise predictive rules for intrusion detection
This paper details an essential component of a multi-agent distributed knowledge network system for intrusion detection. We describe a distributed intrusion detection architecture...
Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les...
117
Voted
CVPR
2008
IEEE
16 years 4 months ago
Dimensionality reduction using covariance operator inverse regression
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
Minyoung Kim, Vladimir Pavlovic
146
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GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
15 years 8 months ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi