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SDM
2009
SIAM
161views Data Mining» more  SDM 2009»
14 years 8 months ago
Feature Weighted SVMs Using Receiver Operating Characteristics.
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
Shaoyi Zhang, M. Maruf Hossain, Md. Rafiul Hassan,...
PKDD
2007
Springer
134views Data Mining» more  PKDD 2007»
14 years 5 months ago
Polyp Detection in Endoscopic Video Using SVMs
Colon cancer is one of the most common cancers in developed countries. Most of these cancers start with a polyp. Polyps are easily detected by physicians. Our goal is to mimic this...
Luís A. Alexandre, João Casteleiro, ...
IJON
2010
148views more  IJON 2010»
13 years 9 months ago
Modeling radiation-induced lung injury risk with an ensemble of support vector machines
Radiation-induced lung injury, radiation pneumonitis (RP), is a potentially fatal side-effect of thoracic radiation therapy. In this work, using an ensemble of support vector mac...
Todd W. Schiller, Yixin Chen, Issam El-Naqa, Josep...
ICPR
2006
IEEE
15 years 9 days ago
Rule Extraction from Support Vector Machines: Measuring the Explanation Capability Using the Area under the ROC Curve
Recently, the area of rule extraction from support vector machines (SVMs) has been explored. One important indication of the success of a rule extraction method is the performance...
Andrew P. Bradley, Nahla H. Barakat
ITIIS
2010
130views more  ITIIS 2010»
13 years 6 months ago
A Novel System for Detecting Adult Images on the Internet
As Internet usage has increased, the risk of adolescents being exposed to adult content and harmful information on the Internet has also risen. To help prevent adolescents accessi...
Jae-Yong Park, Sang-Sung Park, Young-Geun Shin, Do...