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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… 
2017
2017
Fault Diagnosis of a Reconfigurable Crawling–Rolling Robot Based on Support Vector Machines
As robots begin to perform jobs autonomously, with minimal or no human intervention, a new challenge arises: robots also need to… 
2015
2015
An Adaptive Radial Basis Function Kernel for Support Vector Data Description
For one-class classification or novelty detection, the metric of the feature space is essential for a good performance. Typically… 
Highly Cited
2010
Highly Cited
2010
Using SVMs with randomised feature spaces: an extreme learning approach
Extreme learning machines are fast models which almost compare to standard SVMs in terms of accuracy, but are much faster… 
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
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
An Adaptive Kernel Method for Semi-supervised Clustering
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel… 
2006
2006
Flexible kernels for RBF networks
Highly Cited
2005
Highly Cited
2005
Using Names and Topics for New Event Detection
New Event Detection (NED) involves monitoring chronologically-ordered news streams to automatically detect the stories that… 
Highly Cited
2004
Highly Cited
2004
Online handwriting recognition using support vector machine
Discrete hidden Markov model (HMM) and hybrid of neural network (NN) and HMM are popular methods in handwritten word recognition… 
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