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ESWA
2007
146views more  ESWA 2007»
15 years 3 months ago
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
WADS
2001
Springer
80views Algorithms» more  WADS 2001»
15 years 7 months ago
Optimization over Zonotopes and Training Support Vector Machines
Marshall W. Bern, David Eppstein
NECO
2008
108views more  NECO 2008»
15 years 3 months ago
An SMO Algorithm for the Potential Support Vector Machine
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
Tilman Knebel, Sepp Hochreiter, Klaus Obermayer
CORR
2011
Springer
163views Education» more  CORR 2011»
14 years 6 months ago
Suboptimal Solution Path Algorithm for Support Vector Machine
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimiz...
Masayuki Karasuyama, Ichiro Takeuchi
JMLR
2008
123views more  JMLR 2008»
15 years 3 months ago
Optimization Techniques for Semi-Supervised Support Vector Machines
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (S3VMs...
Olivier Chapelle, Vikas Sindhwani, S. Sathiya Keer...