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» Classification of arrayCGH data using fused SVM
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3DPVT
2006
IEEE
197views Visualization» more  3DPVT 2006»
13 years 8 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...
AIR
2005
122views more  AIR 2005»
13 years 4 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
ICFCA
2009
Springer
13 years 2 months ago
A Concept Lattice-Based Kernel for SVM Text Classification
Abstract. Standard Support Vector Machines (SVM) text classification relies on bag-of-words kernel to express the similarity between documents. We show that a document lattice can ...
Claudio Carpineto, Carla Michini, Raffaele Nicolus...
KDD
2002
ACM
140views Data Mining» more  KDD 2002»
14 years 5 months ago
PEBL: positive example based learning for Web page classification using SVM
Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang
TKDD
2008
113views more  TKDD 2008»
13 years 4 months ago
Privacy-preserving classification of vertically partitioned data via random kernels
We propose a novel privacy-preserving support vector machine (SVM) classifier for a data matrix A whose input feature columns are divided into groups belonging to different entiti...
Olvi L. Mangasarian, Edward W. Wild, Glenn Fung