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A Summary Of The Kernel Matrix, And How To Learn It Effectively Using
  Semidefinite Programming

A Summary Of The Kernel Matrix, And How To Learn It Effectively Using Semidefinite Programming

18 September 2017
Amir-Hossein Karimi
ArXiv (abs)PDFHTML

Papers citing "A Summary Of The Kernel Matrix, And How To Learn It Effectively Using Semidefinite Programming"

2 / 2 papers shown
Title
Unified Framework for Spectral Dimensionality Reduction, Maximum
  Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial
  and Survey
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
48
4
0
29 Jun 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions,
  Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
72
37
0
15 Jun 2021
1