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ICPR
2006
IEEE
16 years 7 months ago
Fast Support Vector Machine Classification using linear SVMs
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
Karina Zapien Arreola, Janis Fehr, Hans Burkhardt
ICPR
2006
IEEE
16 years 7 months 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
ICPR
2006
IEEE
16 years 7 months ago
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets
A two-class imbalanced data problem (IDP) emerges when the data from majority class are compactly clustered and the data from minority class are scattered. Though a discriminative...
Kap Luk Chan, Peng Li, Wen Fang
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 7 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
ICNSC
2008
IEEE
16 years 1 months ago
A Self-Configuring Communication Virtual Machine
Today's communication-based applications are mostly crafted in a stovepipe development paradigm, which is inflexible to be used by various domain-specific applications and cos...
Seyed Masoud Sadjadi, Selim Kalayci, Yi Deng