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NOSSDAV
2009
Springer
14 years 3 months ago
Rapid identification of Skype traffic flows
In this paper we present results of experimental work using machine learning techniques to rapidly identify Skype traffic. We show that Skype traffic can be identified by observin...
Philip Branch, Amiel Heyde, Grenville J. Armitage
GECCO
2003
Springer
171views Optimization» more  GECCO 2003»
14 years 2 months ago
Genetic Algorithm Optimized Feature Transformation - A Comparison with Different Classifiers
When using a Genetic Algorithm (GA) to optimize the feature space of pattern classification problems, the performance improvement is not only determined by the data set used, but a...
Zhijian Huang, Min Pei, Erik D. Goodman, Yong Huan...
INFOCOM
2009
IEEE
14 years 3 months ago
Novel Architectures and Algorithms for Delay Reduction in Back-Pressure Scheduling and Routing
—The back-pressure algorithm is a well-known throughput-optimal algorithm. However, its delay performance may be quite poor even when the traffic load is not close to network ca...
Loc Bui, R. Srikant, Alexander L. Stolyar
ICML
2010
IEEE
13 years 9 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone
GECCO
2006
Springer
144views Optimization» more  GECCO 2006»
14 years 13 days ago
On semi-supervised clustering via multiobjective optimization
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
Julia Handl, Joshua D. Knowles