Radial basis function kernel
In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In particular, it is commonly used in support vector machine classification. The RBF kernel on two samples and x', represented as feature vectors in some input space, is defined as may be recognized as the squared Euclidean distance between the two feature vectors. is a free parameter. An equivalent definition involves a parameter : where ,
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- enIn machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In particular, it is commonly used in support vector machine classification. The RBF kernel on two samples and x', represented as feature vectors in some input space, is defined as may be recognized as the squared Euclidean distance between the two feature vectors. is a free parameter. An equivalent definition involves a parameter : where ,
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- enIn machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In particular, it is commonly used in support vector machine classification. The RBF kernel on two samples and x', represented as feature vectors in some input space, is defined as may be recognized as the squared Euclidean distance between the two feature vectors. is a free parameter. An equivalent definition involves a parameter : Since the value of the RBF kernel decreases with distance and ranges between zero (in the limit) and one (when x = x'), it has a ready interpretation as a similarity measure.The feature space of the kernel has an infinite number of dimensions; for , its expansion using the multinomial theorem is: where ,
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- Radial basis function kernel
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- enRadial basis function kernel
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- Category:Kernel methods for machine learning
- Category:Support vector machines
- Eigendecomposition
- Euclidean distance
- Feature space
- Fourier transformation
- Gaussian function
- Gramian matrix
- Kernel (statistics)
- Kernel method
- Kernel trick
- Machine learning
- Multinomial theorem
- Nyström method
- Obst Kernel network
- Polynomial kernel
- Positive-definite kernel
- Radial basis function
- Radial basis function network
- Similarity measure
- Statistical classification
- Support vector machine
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- 4tVWU
- m.0r8kxnz
- Q7280263
- Radial basis function kernel
- هسته تابع پایه شعاعی
- 径向基函数核
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- Category:Kernel methods for machine learning
- Category:Support vector machines
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- Radial basis function kernel?oldid=1107253982&ns=0
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- Wikipage page ID
- 38652210
- Wikipage revision ID
- 1107253982
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