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PAKDD
2007
ACM
128views Data Mining» more  PAKDD 2007»
14 years 3 months ago
Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal
Recent work shows that Support vector machines (SVMs) can be solved efficiently in the primal. This paper follows this line of research and shows how to build sparse support vector...
Liefeng Bo, Ling Wang, Licheng Jiao
SMC
2010
IEEE
121views Control Systems» more  SMC 2010»
13 years 7 months ago
Learning of personalized security settings
—While many cybersecurity tools are available to computer users, their default configurations often do not match needs of specific users. Since most modern users are not computer...
Mehrbod Sharifi, Eugene Fink, Jaime G. Carbonell
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 9 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
AIME
2007
Springer
14 years 3 months ago
An Intelligent Aide for Interpreting a Patient's Dialysis Data Set
Many machines used in the modern hospital settings offer real time physiological monitoring. Haemodialysis machines combine a therapeutic treatment system integrated with sophistic...
Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, La...
COMSWARE
2007
IEEE
14 years 3 months ago
Smaller Connected Dominating Sets in Ad Hoc and Sensor Networks based on Coverage by Two-Hop Neighbors
— In this paper, we focus on the construction of an efficient dominating set in ad hoc and sensor networks. A set of nodes is said to be dominating if each node is either itself...
François Ingelrest, David Simplot-Ryl, Ivan...