PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Dazzi P., Pasquali M., Baraglia R., Panciatici A. Self-optimizing classifiers: formalization and design pattern. Thierry Priol, Marco Vanneschi (eds.). US: Springer, 2008.
 
 
Abstract
(English)
In this paper we propose a design pattern for self-optimizing classification systems, i.e. classifiers able to adapt their behavior to the system changes. We first provide a formalization for self-optimizing classifier that we use to derive the design pattern. We describe the pattern classes, and their interactions. We validate our approach applying the pattern to a real scenario. Finally, we compared the behavior of the self-optimizing classifier with the original one. Experimental results demonstrate the approach effectiveness.
URL: http://portal.acm.org/citation.cfm?id=1403892
Subject Self-optimizing
Classification
F.1.1 Models of Computation


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