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… (More)
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Papers overview

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2018
2018
In this paper, we optimize a widely used kernel, radial basis function, in a support vector machine as a case study to evaluate… (More)
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2018
2018
Over the years Radial Basis Function (RBF) Kernel Machines have been used in Machine Learning tasks, but there are certain flaws… (More)
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2017
2017
Low-rank approximations are popular techniques to reduce the high computational cost of large-scale kernel matrices, which are of… (More)
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2014
2014
To better deal with high dimensions and extract the essential feature of facial expression images in facial expression… (More)
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2014
2014
Classification of stress is imperative especially with regard to automobile drivers since stress level of the driver forms a… (More)
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2010
2010
Detecting machine faults at an early stage is very important. In this study, an intelligent fault detection method based on… (More)
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2006
2006
Training algorithms for radial basis function Kernel classifiers (RBFKCs), such as the canonical support vector machine (SVM… (More)
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Highly Cited
2005
Highly Cited
2005
Bankruptcy prediction has drawn a lot of research interests in previous literature, and recent studies have shown that machine… (More)
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Highly Cited
2005
Highly Cited
2005
In the last few years, application of Support Vector Machines (SVMs) for solving classification and regression problems has… (More)
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2004
2004
The use of kernels is a key factor in the success of many classification algorithms by allowing nonlinear decision surfaces… (More)
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