Títol:
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Assessing confidence in cased based reuse step
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Autor/a:
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García, Fabio A.; Orozco, Francisco J.; Gonzàlez, Jordi; Arcos, Lluis
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Altres autors:
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Institut de Robòtica i Informàtica Industrial |
Abstract:
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Case-Based Reasoning (CBR) is a learning approach that solves current situations by reusing previous solutions that are stored in a case base. In the CBR cycle the reuse step plays an important role into the problem solving process, since the solution for a new problem is based in the available solutions of the retrieved cases. In classification tasks a trivial reuse method is commonly used, which takes into account the most frequently solution proposed by the set of retrieved cases. We propose an alternative reuse process; we call confidence-reuse method, which make a qualitative assessment of the information retrieved. This approach is focused on measuring the solution accuracy, applying some confidence predictors based in a k-NN classifier with the aim of analyzing and evaluating the information offered by the retrieved cases. |
Abstract:
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Peer Reviewed |
Matèries:
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Artificial intelligence -Intel·ligència artificial -Classificació INSPEC::Cybernetics::Artificial intelligence |
Drets:
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Tipus de document:
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Capítol o part de llibre |
Publicat per:
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IOS Press
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Compartir:
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