MID-CBR: An Integrative Framework for Developing Case-based Reasoning Systems TIN2006-15140-C03

作者: Enric Plaza , Elisabet Golobardes

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摘要: Case-based reasoning (CBR) combines in an eective manner both learning from examples and usage of domain knowledge. Techniques for case retrieval reuse should not be studied isolated manner; instead they designed evaluated a framework that integrates dierent types CBR systems as proposed this project.

参考文章(67)
Antonio A. Sánchez-Ruiz-Granados, Combining HTN-DL Planning and CBR to compound Semantic Web Services. KWEPSY. ,(2007)
E. Golobardes i Ribé, J. M. Garrell i Guiu, J. Camps Dausà, A. Fornells Herrera, Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions conference on artificial intelligence research and development. pp. 231- 238 ,(2005)
Enric Plaza, On Reusing Other People's Experiences. Künstliche Intell.. ,vol. 23, pp. 18- 23 ,(2009)
Eva Armengol, How to use Explanations for Knowledge Discovery. ECCBR Workshops. pp. 119- 130 ,(2008)
Josep Malvehy, Susana Puig, Ruben Nicolas, Albert Fornells, David Vernet, Elisabet Golobardes, Carles Garriga, Pattern Discovery in Melanoma Domain Using Partitional Clustering conference on artificial intelligence research and development. pp. 323- 330 ,(2008)
Santiago Ontañón, Enric Plaza, Case-based learning from proactive communication international joint conference on artificial intelligence. pp. 999- 1004 ,(2007)
Eva Armengol, Knowledge Discovery with Explained Case-Based Reasoning conference on artificial intelligence research and development. pp. 151- 160 ,(2008)
Eva Armengol, Building partial domain theories from explanations Knowledge Intelligence. ,vol. 22, pp. 19- 24 ,(2008)
Ruben Nicolas, Elisabet Golobardes, Albert Fornells, Sonia Segura, Susana Puig, Cristina Carrera, Joseph Palou, Josep Malvehy, Using Ensemble-Based Reasoning to Help Experts in Melanoma Diagnosis conference on artificial intelligence research and development. pp. 178- 185 ,(2008)