Optimizing Similarity Assessment in Case-Based Reasoning

Armin Stahl, Thomas Gabel
Proceedings of the 21th National Conference on Artificial Intelligence (AAAI-06), AAAI Press, 2006

Abstract:

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.

Files:

  AAAI2006_Stahl_Gabel.pdf
  AAAI2006_Stahl_Gabel_Slides.pdf

BibTex:

@inproceedings{ STAH2006,
	Title = {Optimizing Similarity Assessment in Case-Based Reasoning},
	Author = {Armin Stahl and Thomas Gabel},
	BookTitle = {Proceedings of the 21th National Conference on Artificial Intelligence (AAAI-06)},
	Year = {2006},
	Publisher = {AAAI Press}
}

     
Last modified:: 30.08.2016