We propose here a VLSI friendly algorithm for the implementation of the learning phase of Support Vector Machines (SVMs). Differently from previous methods, that rely on sophisticated constrained nonlinear programming algorithms, our approach finds a simple updating rule that can be easily implemented in digital VLSI.

A VLSI friendly algorithm for support vector machines

ANGUITA, DAVIDE;RIDELLA, SANDRO
1999-01-01

Abstract

We propose here a VLSI friendly algorithm for the implementation of the learning phase of Support Vector Machines (SVMs). Differently from previous methods, that rely on sophisticated constrained nonlinear programming algorithms, our approach finds a simple updating rule that can be easily implemented in digital VLSI.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/539310
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact