Finding the kernel in which the data will have the highest ratio of leading eigenvalue to trace Unicorn Meta Zoo #1: Why another podcast? Announcing the arrival of Valued Associate #679: Cesar Manara 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsFinding a kernel with feature transformationHow do we decide which kernel needs to be used in SVM?What Kernel is suitable for the following data for SVM classification?Nyström approximation of the non-linear mapping $phi$ for a RBF kernel - what is the impact of weak duality?How do I interpret the length-scale parameter of the RBF kernel?Is the hypothesis space spanned by kernel evaluations on datapoints equivalent to the hypothesis space of linear functionals in the feature space?What advantage does Guassian kernel have than any other kernels, such as linear kernel, polynomial kernel and so on?
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Finding the kernel in which the data will have the highest ratio of leading eigenvalue to trace
Unicorn Meta Zoo #1: Why another podcast?
Announcing the arrival of Valued Associate #679: Cesar Manara
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsFinding a kernel with feature transformationHow do we decide which kernel needs to be used in SVM?What Kernel is suitable for the following data for SVM classification?Nyström approximation of the non-linear mapping $phi$ for a RBF kernel - what is the impact of weak duality?How do I interpret the length-scale parameter of the RBF kernel?Is the hypothesis space spanned by kernel evaluations on datapoints equivalent to the hypothesis space of linear functionals in the feature space?What advantage does Guassian kernel have than any other kernels, such as linear kernel, polynomial kernel and so on?
$begingroup$
I have a method which works well with the data where a ratio of a leading eigenvalue or of first few leading eigenvalues to trace is high. Is it possible to find a kernel transformation which is optimized in such a way (With hyperparameters) that in the kernel space such ratio is at the highest possible value (and higher than in the original feature space)? Thank you.
kernel
asked 40 mins ago
Stan MaydanStan Maydan
1
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have a method which works well with the data where a ratio of a leading eigenvalue or of first few leading eigenvalues to trace is high. Is it possible to find a kernel transformation which is optimized in such a way (With hyperparameters) that in the kernel space such ratio is at the highest possible value (and higher than in the original feature space)? Thank you.
kernel
asked 40 mins ago
Stan MaydanStan Maydan
1
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I have a method which works well with the data where a ratio of a leading eigenvalue or of first few leading eigenvalues to trace is high. Is it possible to find a kernel transformation which is optimized in such a way (With hyperparameters) that in the kernel space such ratio is at the highest possible value (and higher than in the original feature space)? Thank you.
kernel
asked 40 mins ago
Stan MaydanStan Maydan
1
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a method which works well with the data where a ratio of a leading eigenvalue or of first few leading eigenvalues to trace is high. Is it possible to find a kernel transformation which is optimized in such a way (With hyperparameters) that in the kernel space such ratio is at the highest possible value (and higher than in the original feature space)? Thank you.
kernel
kernel
asked 40 mins ago
Stan MaydanStan Maydan
1
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 40 mins ago
Stan MaydanStan Maydan
1
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 40 mins ago
Stan MaydanStan Maydan
1
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 40 mins ago
Stan MaydanStan Maydan
1
asked 40 mins ago
Stan MaydanStan Maydan
1
1
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Stan Maydan is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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