On the use of vocabulary knowledge for learning similarity measures

Autor(en): Gabel, T
Herausgeber: Althoff, KD
Dengel, A
Bergmann, R
Nick, M
RothBerghofer, T
Stichwörter: Computer Science; Computer Science, Artificial Intelligence
Erscheinungsdatum: 2005
Herausgeber: SPRINGER-VERLAG BERLIN
Journal: PROFESSIONAL KNOWLEDGE MANAGEMENT
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Volumen: 3782
Startseite: 272
Seitenende: 283
Zusammenfassung: 
A very recent topic in CBR research deals with the automated optimisation of similarity measures-a core component of each CBR application-by using machine learning techniques. In our previous work, a number of approaches to bias and guide the learning process have been proposed aiming at more stable learning results and less susceptibility to overfitting. Those methods support the learner by incorporating background knowledge into the optimisation process. In this paper, we focus on one specific form of knowledge, namely vocabulary knowledge implicitly contained in the model of the respective application domain, as a source to enhance the learning of similarity measures.
Beschreibung: 
3rd Biennial Conference on Professional Knowledge Management, Kaiserslautern, GERMANY, APR 10-13, 2005
ISBN: 9783540304654
ISSN: 03029743

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