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» The Genetic Kernel Support Vector Machine: Description and E...
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AIR
2005
122views more  AIR 2005»
13 years 10 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
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
14 years 4 months ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul
ICPR
2004
IEEE
14 years 12 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
CORR
2010
Springer
179views Education» more  CORR 2010»
13 years 7 months ago
Comparison of Support Vector Machine and Back Propagation Neural Network in Evaluating the Enterprise Financial Distress
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
Ming-Chang Lee, To Chang