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ICPR
2006
IEEE
16 years 8 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
2004
IEEE
16 years 8 months ago
Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...
Amit David, Boaz Lerner
ICPR
2004
IEEE
16 years 8 months ago
Activity Summarisation and Fall Detection in a Supportive Home Environment
Automatic semantic summarisation of human activity and detection of unusual inactivity are useful goals for a vision system operating in a supportive home environment. Learned mod...
Hammadi Nait-Charif, Stephen J. McKenna
201
Voted
ICPR
2000
IEEE
16 years 7 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
DAC
2003
ACM
16 years 7 months ago
Optimizations for a simulator construction system supporting reusable components
Exploring a large portion of the microprocessor design space requires the rapid development of efficient simulators. While some systems support rapid model development through the...
David A. Penry, David I. August