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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

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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… 
2016
2016
Galaxy Morphology Classification
We apply machine learning techniques to the problem of galaxy morphology classification. We use both supervised and unsupervised… 
2014
2014
Analysis of Tamil character writings and identification of writer using Support Vector Machine
Distinctive Handwriting is a thought provoking task in writer identification. The style and shape of the letters written by the… 
2010
2010
Wavelet SVM in Reproducing Kernel Hilbert Space for hyperspectral remote sensing image classification
Article history: Received 15 December 2009 Received in revised form 10 July 2010 Accepted 3 August 2010 
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
Combining Gradient and Evolutionary Approaches to the Artificial Neural Networks Training According to Principles of Support Vector Machines
A gradient based learning for ANN training in pattern recognition tasks and a genetic approach for ANN pruning are proposed in… 
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… 
2003
2003
An Improved Parameter Tuning Method for Support Vector Machines
Support vector machines (SVMs) is a very important tool for data mining. However, the problem of tuning parameters manually… 
2002
2002
Estimation of Boundary Conditions in Conduction Heat Transfer by Neural Networks
Two different artificial neural networks (NN) are used for estimating a time dependent boundary condition (x = 0) in a slab…