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CORR
2008
Springer
114views Education» more  CORR 2008»
14 years 10 months ago
Support Vector Machine Classification with Indefinite Kernels
In this paper, we propose a method for support vector machine classification using indefinite kernels. Instead of directly minimizing or stabilizing a nonconvex loss function, our...
Ronny Luss, Alexandre d'Aspremont
IDEAL
2010
Springer
14 years 7 months ago
Robust 1-Norm Soft Margin Smooth Support Vector Machine
Based on studies and experiments on the loss term of SVMs, we argue that 1-norm measurement is better than 2-norm measurement for outlier resistance. Thus, we modify the previous 2...
Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, Chih-Chen...
ICPR
2004
IEEE
15 years 11 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
BIBE
2003
IEEE
124views Bioinformatics» more  BIBE 2003»
15 years 3 months ago
Prediction of Contact Maps Using Support Vector Machines
Contact map prediction is of great interest for its application in fold recognition and protein 3D structure determination. In this paper we present a contact-map prediction algor...
Ying Zhao, George Karypis
EOR
2007
101views more  EOR 2007»
14 years 9 months ago
Comprehensible credit scoring models using rule extraction from support vector machines
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformat...
David Martens, Bart Baesens, Tony Van Gestel, Jan ...