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Summary Of: Kernel trick

The kernel trick transforms any algorithm that solely depends on the dot product between two vectors... The kernel trick was first published by Aizerman et al...

Encyclodia Page On: Kernel trick

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machine learning | linear classifier | Mercer's theorem | positive semi-definite | kernel function | dot product | space | measurable space | positive semi-definite | range | inner product space | Gaussian | machine learning | statistics | Perceptrons | Support vector machines | Principal components analysis | Canonical correlation analysis | Fisher's | linear discriminant analysis | Clustering | citation needed | Kernel methods | Integral transforms | Hilbert space | reproducing kernel Hilbert space | Categories | Machine learning | Kernel methods for machine learning | All articles with unsourced statements | Articles with unsourced statements since March 2008 |
This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Kernel trick".