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» Classification of arrayCGH data using fused SVM
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ISMB
2008
9 years 4 months ago
Classification of arrayCGH data using fused SVM
Motivation: Array-based comparative genomic hybridization (arrayCGH) has recently become a popular tool to identify DNA copy number variations along the genome. These profiles are...
Franck Rapaport, Emmanuel Barillot, Jean-Philippe ...
IJON
2008
173views more  IJON 2008»
9 years 2 months ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li
3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
9 years 6 months ago
Aerial LiDAR Data Classification Using Support Vector Machines (SVM)
We classify 3D aerial LiDAR scattered height data into buildings, trees, roads, and grass using the Support Vector Machine (SVM) algorithm. To do so we use five features: height, ...
Suresh K. Lodha, Edward J. Kreps, David P. Helmbol...
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
10 years 2 months ago
PEBL: positive example based learning for Web page classification using SVM
Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang
AIR
2005
122views more  AIR 2005»
9 years 2 months ago
The Genetic Kernel Support Vector Machine: Description and Evaluation
The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classification of data. One problem that faces the user of an SVM is how to choose a kerne...
Tom Howley, Michael G. Madden
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