Knowledge-based green’s kernel for support vector regression

HIGHLIGHTS

• who: Support Vector Regression and collaborators from the Department of Electrical and Computer Engineering, Ryerson University, Victoria Street, Toronto have published the research work: Knowledge-Based Green’s Kernel for Support Vector Regression, in the Journal: (JOURNAL) of 19/01/2010
• what: The work in is focused on using prior knowledge about the magnitude spectrum of the function to be predicted to design the support vector kernels from Green's functions having suitable regularization properties by utilizing the concept of matched filters, an idea inspired by Scholkopf and Smola 10. The authors provide a mathematical . . .
  

   

  

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