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ICAPR
2009
Springer
15 years 10 months ago
Relevant and Redundant Feature Analysis with Ensemble Classification
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Rakkrit Duangsoithong, Terry Windeatt
122
Voted
ICMLA
2010
15 years 1 months ago
An All-at-once Unimodal SVM Approach for Ordinal Classification
Abstract--Support vector machines (SVMs) were initially proposed to solve problems with two classes. Despite the myriad of schemes for multiclassification with SVMs proposed since ...
Joaquim F. Pinto da Costa, Ricardo Sousa, Jaime S....
ANOR
2006
74views more  ANOR 2006»
15 years 3 months ago
Electroencephalogram (EEG) time series classification: Applications in epilepsy
Epilepsy is among the most common brain disorders. Approximately 25
Wanpracha Art Chaovalitwongse, Oleg A. Prokopyev, ...
137
Voted
ICMLA
2009
15 years 1 months ago
Text Classification Methodologies Applied to Micro-Text in Military Chat
We propose methods to classify lines of military chat, or posts, which contain items of interest. We evaluated several current text categorization and feature selection methodologi...
Kevin Dela Rosa, Jeffrey Ellen
NIPS
2001
15 years 5 months ago
A kernel method for multi-labelled classification
This article presents a Support Vector Machine (SVM) like learning system to handle multi-label problems. Such problems are usually decomposed into many two-class problems but the...
André Elisseeff, Jason Weston