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ICANN
2001
Springer
14 years 1 months ago
Fast Training of Support Vector Machines by Extracting Boundary Data
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
Shigeo Abe, Takuya Inoue
WSC
2008
13 years 11 months ago
Tunnel_Sim: Decision support tool for planning tunnel construction using computer simulation
Tunnel construction are essentially infrastructure projects that includes many interfered and sophisticated tasks. This paper presents a decision support tool, Tunnel_Sim, for pla...
Mohamed Marzouk, Moatassem Abdallah, Moheeb Elsaid
DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 10 months ago
Research on Classification of Printing Fault Using Support Vector Machines
: For the characteristics of malfunction diagnose system a model to classify fault printing based on support vector machines is discussed. The printing malfunctions have many class...
Ye-Li Li, Ya-Li Qi
FLAIRS
2003
13 years 10 months ago
Optimizing F-Measure with Support Vector Machines
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
David R. Musicant, Vipin Kumar, Aysel Ozgur
AUTOMATICA
2006
150views more  AUTOMATICA 2006»
13 years 8 months ago
Enlarging the terminal region of nonlinear model predictive control using the support vector machine method
In this paper, Receding Horizon Model Predictive Control (RHMPC) of nonlinear systems subject to input and state constraints is considered. We propose to estimate the terminal reg...
Chong Jin Ong, Dan Sui, Elmer G. Gilbert