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Incremental / Decremental SVM for Function Approximation
 

Summary: Incremental / Decremental SVM for Function
Approximation
Honorius G^almeanu
Electronics and Computers Department
Transilvania University of Brasłov
500024 Brasłov, Rom^ania
galmeanu@vega.unitbv.ro
Razvan Andonie
Computer Science Department
Central Washington University
Ellensburg, USA
andonie@cwu.edu
Abstract-- Training a support vector regression (SVR)
resumes to the process of migrating the vectors in and
out of the support set along with modifying the associated
thresholds. This paper gives a complete overview of all the
boundary conditions implied by vector migration through
the process. The process is similar to that of training a
SVM, though the process of incrementing / decrementing
of vectors into / out of the solution does not coincide

  

Source: Andonie, Razvan - Department of Computer Science, Central Washington University

 

Collections: Computer Technologies and Information Sciences