In this work a novel analysis methodology of SVMs optimal solutions is presented. Such a methodology is based on a multiobjective optimization algorithm which exploits a genetic search paradigm. The application field is the design of smart micro-sensors, where both classification performance and complexity criteria have to be considered in order to balance accuracy and power consumption requirements. © 2006 IEEE.
Model selection for power efficient analysis of measurement data
Marconato, Anna;Boni, Andrea;Caprile, Bruno;Petri, Dario
2006-01-01
Abstract
In this work a novel analysis methodology of SVMs optimal solutions is presented. Such a methodology is based on a multiobjective optimization algorithm which exploits a genetic search paradigm. The application field is the design of smart micro-sensors, where both classification performance and complexity criteria have to be considered in order to balance accuracy and power consumption requirements. © 2006 IEEE.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
