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Radial basis function kernel

Known as: RBF kernel 
In machine learning, the (Gaussian) radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning… 
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Related topics

Related topics

13 relations
Euclidean distanceGramian matrixKernel methodLow Rank Matrix Approximations

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Heart Disease Diagnosis Based on Deep Radial Basis Function Kernel Machine
Over the years Radial Basis Function (RBF) Kernel Machines have been used in Machine Learning tasks, but there are certain flaws… 
2012
2012
Age-Group Classification of Facial Images
This paper presents the age-group classification based on facial images. We perform age-group classification by dividing ages… 
Highly Cited
2008
Highly Cited
2008
Multi-step ahead nonlinear identification of Lorenz’s chaotic system using radial basis neural network with learning by clustering and particle swarm optimization
2008
2008
The Pascal Visual Object Classes Challenge 2008 submission
After a plurality of grooves are formed in an insulating film and in an anti-reflection film on the insulating film, a barrier… 
2006
2006
Building Efficient Radial Basis Function Kernel Classifiers using Iterative Methods
Training algorithms for radial basis function Kernel classifiers (RBFKCs), such as the canonical support vector machine (SVM… 
2006
2006
Flexible kernels for RBF networks
2006
2006
PSO-Based Hyper-Parameters Selection for LS-SVM Classifiers
The determination for hyper-parameters including kernel parameters and the regularization is important to the performance of… 
2005
2005
Radial basis neural network learning based on particle swarm optimization to multistep prediction of chaotic Lorenz's system
This paper presents a hybrid training approach to radial basis function neural networks (RBF-NN). It uses clustering methods to… 
2004
2004
Improving RBF-DDA performance on optical character recognition through parameter selection
The dynamic decay adjustment (DDA) algorithm is a fast constructive algorithm for training RBF neural networks. In previous works… 
2003
2003
Adaptive robust control for servo manipulators
  • C. J. KhohK. Tan
  • Neural computing & applications (Print)
  • 2003
  • Corpus ID: 13405867
In this paper, an adaptive robust control scheme is developed which is suitable for the control of a class of uncertain nonlinear… 
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