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» New Algorithms for Statistical Analysis of Interval Data
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MCS
2009
Springer
15 years 9 months ago
Incremental Learning of Variable Rate Concept Drift
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
Ryan Elwell, Robi Polikar
INFOCOM
2012
IEEE
13 years 7 months ago
Origin-destination flow measurement in high-speed networks
—An origin-destination (OD) flow between two routers is the set of packets that pass both routers in a network. Measuring the sizes of OD flows is important to many network man...
Tao Li, Shigang Chen, Yan Qiao
ICPR
2006
IEEE
15 years 10 months ago
Note on Feature Selection for Polyp Detection in CT Colonography
In this paper we describe a computer aided detection (CAD) algorithm for robust detection of polyps in computed tomography (CT) colonography. The devised algorithm identifies sus...
Tarik A. Chowdhury, Ovidiu Ghita, Paul F. Whelan, ...
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
15 years 4 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
IJON
2006
72views more  IJON 2006»
15 years 4 months ago
Extraction of a source signal whose kurtosis value lies in a specific range
In many applications extraction of source signals of interest from observed signals maybe is a more feasible approach than simultaneous separation of all the source signals, since...
Zhi-Lin Zhang, Zhang Yi