Optimizing Similarity Assessment in Case-Based Reasoning

Armin Stahl, Thomas Gabel

In: Proceedings of the 21th National Conference on Artificial Intelligence (AAAI-06). AAAI Conference on Artificial Intelligence (AAAI) AAAI Press 2006.


The definition of accurate similarity measures is a key issue of every Case-Based Reasoning application. Although some approaches to optimize similarity measures automatically have already been applied, these approaches are not suited for all CBR application domains. On the one hand, they are restricted to classification tasks. On the other hand, they only allow optimization of feature weights. We propose a novel learning approach which addresses both problems, i.e. it is suited for most CBR application domains beyond simple classification and it enables learning of more sophisticated similarity measures.

AAAI2006_Stahl_Gabel.pdf (pdf, 182 KB ) AAAI2006_Stahl_Gabel_Slides.pdf (pdf, 2 MB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz