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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… 
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… 
2012
2012
814. Fault diagnosis of main engine journal bearing based on vibration analysis using Fisher linear discriminant, K-nearest neighbor and support vector machine
Vibration technique in a machine condition monitoring provides useful reliable information, bringing significant cost benefits to… 
2012
2012
Multimodal Video Concept Detection via Bag of Auditory Words and Multiple Kernel Learning
State-of-the-art systems for video concept detection mainly rely on visual features. Some previous approaches have also included… 
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 
2010
2010
A System for Colorectal Tumor Classification in Magnifying Endoscopic NBI Images
In this paper we propose a recognition system for classifying NBI images of colorectal tumors into three types (A, B, and C3) of… 
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
Machine learning and multiscale methods in the identification of bivalve larvae
We describe a novel application of support vector machines and multiscale texture and color invariants to a problem in biological… 
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… 
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