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» Temporal Data Classification Using Linear Classifiers
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ASIAMS
2008
IEEE
14 years 2 months ago
Data Reduction and Ensemble Classifiers in Intrusion Detection
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
ISMB
2008
13 years 10 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 ...
TIT
2010
118views Education» more  TIT 2010»
13 years 2 months ago
Joint sampling distribution between actual and estimated classification errors for linear discriminant analysis
Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery for disease diagnosis and prognosis in genomics and p...
Amin Zollanvari, Ulisses Braga-Neto, Edward R. Dou...
SDM
2010
SIAM
165views Data Mining» more  SDM 2010»
13 years 9 months ago
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshid...
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 8 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek