Model Selection for Power Efficient Analysis of Measurement Data
Anna Marconato, Andrea Boni, Bruno Caprile, Dario Petri · 2006
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 microsensors, where both classification performance and complexity criteria have to be considered in order to balance accuracy and power consumption requirements