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.

Model selection for power efficient analysis of measurement data

Caprile, Bruno Giovanni;
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
9780780393608
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/60799
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