Choosing Multiple Parameters for Support Vector Machines

Keywords

Generalization, Support vector machine, Computer science, Artificial intelligence, Generalization error

References

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Cited by

• Improvement and Extensive Application of Embedded Operating System µC/OS-IISu Juan, WU Xuguang, Zhao Zhang — 2007
• Towards understanding the influence of SVM hyperparametersCharl Johannes van Heerden, Etienne Barnard — 2010
• Algorithms and Applications for Land Cover Classification – A ReviewBjörn Waske, Mingmin Chi, Jón Atli Benediktsson — 2010
• Comuting Core-Sets and Approximate Smallest Enclosing HyperSpheres in High DimensionsPiyush Kumar, Joseph S. B. Mitchell, E. Alper Yıldırım — 2003
• New results on error correcting output codes of kernel machinesDurisch Nolli Architetti Sagl — 2004
• Tabu Search Model Selection for SVMMosae Selvakumar Paulraj, J. Ravi, S. Thomas Lee — 2008
• Measuring the effectiveness of hospital-acquired infection preventionJimison Iavindrasana, Gilles Cohen, Adrien Depeursinge — 2010
• Learning using privileged information: SV M+ and weighted SVMMaksim Lapin, Matthias Hein, Bernt Schiele — 2013
• Efficient sampling-based Rbdo by using virtual support vector machine and improving the accuracy of the Kriging methodHyeongjin Song — 2013
• Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imagingMichel Coulombe — 2015
• Machine learning for genomic sequence analysisSonnenburg, Soeren — 2008
• Variable selection in multi-class support vector machine and applications in genomic data analysisLingkang Huang — 2008
• Sélection de variables par les machines à vecteurs supports pour la discrimination binaire et multiclasse en grande dimensionAnis Ben Ishak — 2007
• Feature Selection with the logRatio KernelJulien Prados, Alexandros Kalousis, Mélanie Hilario — 2008
• Diffusion, methods and applicationsAlev Genc, Tülin Yıldız — 2014
• EVOLUTIONARY OPTIMISATION OF KERNEL FUNCTIONS FOR SVMSLaura Dioş, Alexandrina Rogozan, Jean-Pierre Pécuchet — 2008
• Indexation sonore : recherche de composantes primaires pour une structuration audiovisuelle. (Audio classification: search of primary components for audiovisual structuring)Julien Pinquier — 2004
• Direct and inverse solution for a stimulus adaptation problem using SVRDominik Brügger, Sergejus Butovas, Martin Bogdan — 2008
• Multiple Kernel ClusteringBin Zhao, James T. Kwok, Changshui Zhang — 2009
• Fast Kernel Learning using Sequential Minimal OptimizationFrancis Bach, Gert Lanckriet, Michael I. Jordan — 2004

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