Search results for "RBF kernels"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Gao Daqi, Zhang Tao	Support vector machine classifiers using RBF kernels with clustering-based centers and widths.	IJCNN	2007	DBLP DOI BibTeX RDF
2	Ingo Steinwart, Don R. Hush, Clint Scovel	An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels.	IEEE Transactions on Information Theory	2006	DBLP DOI BibTeX RDF
2	Tanasanee Phienthrakul, Boonserm Kijsirikul	Evolving Hyperparameters of Support Vector Machines Based on Multi-Scale RBF Kernels.	Intelligent Information Processing	2006	DBLP DOI BibTeX RDF	Support Vector Machines, Radial Basis Function, Kernel Methods, Evolutionary Strategies
2	Bart Hamers, Johan A. K. Suykens, Bart De Moor	Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models.	ICANN	2002	DBLP DOI BibTeX RDF	nonlinear function estimation, compactly supported kernels, direct and iterative methods, Support vector machines
1	Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho	VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels.	CIKM	2009	DBLP DOI BibTeX RDF	nomogram, visualization, SVM
1	Cheng Wang Xie, Lin Xin Ding, Xin Du	Anti-spam Filters Based on Support Vector Machines.	ISICA	2009	DBLP DOI BibTeX RDF	anti-spam, classification, support vector machines, filter
1	Tanasanee Phienthrakul, Boonserm Kijsirikul	Adaptive stabilized multi-RBF kernel for Support Vector Regression.	IJCNN	2008	DBLP DOI BibTeX RDF
1	Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Joon Chee, In-Young Kim, Sun I. Kim	Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels.	IEEE Transactions on Information Technology in Biomedicine	2008	DBLP DOI BibTeX RDF
1	Michalis E. Blazadonakis, Michalis E. Zervakis	Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study.	ICMLA	2007	DBLP DOI BibTeX RDF
1	Shigeo Abe	Sparse least squares support vector training in the reduced empirical feature space.	Pattern Anal. Appl.	2007	DBLP DOI BibTeX RDF	Empirical feature space, RBF kernels, Support vector machines, Pattern classification, Least squares support vector machines, Cholesky factorization, Multi-class support vector machines
1	Wen Dong, Bruno Lepri, Alessandro Cappelletti, Alex Pentland, Fabio Pianesi, Massimo Zancanaro	Using the influence model to recognize functional roles in meetings.	ICMI	2007	DBLP DOI BibTeX RDF	support vector machines, intelligent environments, group interaction
1	Marta Gîrdea, Liviu Ciortuz	A Hybrid Genetic Programming and Boosting Technique for Learning Kernel Functions from Training Data.	SYNASC	2007	DBLP DOI BibTeX RDF
1	Ming-Bin Li, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan	Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels.	ISNN	2006	DBLP DOI BibTeX RDF
1	Alberto Muñoz, Javier González, Isaac Martín de Diego	Local Linear Approximation for Kernel Methods: The Railway Kernel.	CIARP	2006	DBLP DOI BibTeX RDF
1	Bo Jin, Yan-Qing Zhang	Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison.	ISNN	2006	DBLP DOI BibTeX RDF
1	Lei Xie	Swarm Intelligent Tuning of One-Class nu-SVM Parameters.	RSKT	2006	DBLP DOI BibTeX RDF	?-SVM, radical basis function, hyperparameters tuning, particle swarm optimization, Swarm intelligence
1	Bo Jin, Yan-Qing Zhang	Evolutionary Construction of Granular Kernel Trees for Cyclooxygenase-2 Inhibitor Activity Comparison.	T. Comp. Sys. Biology	2006	DBLP DOI BibTeX RDF
1	Shibin Qiu, Terran Lane	Parallel Computation of RBF Kernels for Support Vector Classifiers.	SDM	2005	DBLP BibTeX RDF
1	Tanasanee Phienthrakul, Boonserm Kijsirikul	Evolutionary strategies for multi-scale radial basis function kernels in support vector machines.	GECCO	2005	DBLP DOI BibTeX RDF	support vector machines, radial basis function, kernel function, evolutionary strategies
1	Sergio A. Rojas, Delmiro Fernandez-Reyes	Adapting multiple kernel parameters for support vector machines using genetic algorithms.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
1	Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, S. H. Ong, Kelvin W. C. Foong	Combining Visual Features for Medical Image Retrieval and Annotation.	CLEF	2005	DBLP DOI BibTeX RDF
1	Laine Kahsay, Friedhelm Schwenker, Günther Palm	Comparison of Multiclass SVM Decomposition Schemes for Visual Object Recognition.	DAGM-Symposium	2005	DBLP DOI BibTeX RDF
1	Shigeo Abe	Training of Support Vector Machines with Mahalanobis Kernels.	ICANN	2005	DBLP DOI BibTeX RDF
1	Guang-Bin Huang, Chee Kheong Siew	Extreme learning machine: RBF network case.	ICARCV	2004	DBLP DOI BibTeX RDF
1	Tony Van Gestel, Johan A. K. Suykens, Bart Baesens, Stijn Viaene, Jan Vanthienen, Guido Dedene, Bart De Moor, Joos Vandewalle	Benchmarking Least Squares Support Vector Machine Classifiers.	Machine Learning	2004	DBLP DOI BibTeX RDF	least squares support vector machines, sparse approximation, multiclass support vector machines
1	Chuan Lu, Tony Van Gestel, Johan A. K. Suykens, Sabine Van Huffel, Dirk Timmerman, Ignace Vergote	Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines.	AIME	2003	DBLP DOI BibTeX RDF
1	Dane Walsh, Christian W. Omlin	Automatic Detection of Film Orientation with Support Vector Machines.	IEA/AIE	2002	DBLP DOI BibTeX RDF
1	Nedjem-Eddine Ayat, Mohamed Cheriet, Lakhdar Remaki, Ching Y. Suen	KMOD - A New Support Vector Machine Kernel with Moderate Decreasing for Pattern Recognition. Application to Digit Image Recognition. (PDF / PS)	ICDAR	2001	DBLP DOI BibTeX RDF
1	Liva Ralaivola, Florence d'Alché-Buc	Incremental Support Vector Machine Learning: A Local Approach.	ICANN	2001	DBLP DOI BibTeX RDF
1	Bart Baesens, Stijn Viaene, Tony Van Gestel, Johan A. K. Suykens, Guido Dedene, Bart De Moor, Jan Vanthienen	An empirical assessment of kernel type performance for least squares support vector machine classifiers.	KES	2000	DBLP DOI BibTeX RDF
1	Olivier Chapelle, Patrick Haffner, Vladimir Vapnik	Support vector machines for histogram-based image classification.	IEEE Transactions on Neural Networks	1999	DBLP DOI BibTeX RDF