Now showing items 1-3 of 3

  • Informed selection and use of training examples for knowledge refinement. 

    Wiratunga, Nirmalie (Robert Gordon University School of Computing, 2000-12-31)
    WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.
    Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the ...
  • Knowledge modelling for a generic refinement framework 

    Boswell, Robin; Craw, Susan (Elsevier http://dx.doi.org/10.1016/S0950-7051(99)00018-0, 1999-10)
    BOSWELL, R. and CRAW, S., 1999. Knowledge modelling for a generic refinement framework. Knowledge Based Systems, 12 (5-6), pp. 317-325
    Refinement tools assist with debugging the knowledge-based system (KBS), thus easing the well-known knowledge acquisition bottleneck, and the more recently recognised maintenance overhead. The existing refinement tools ...
  • Representing problem-solving for knowledge refinement. 

    Craw, Susan; Boswell, Robin (AAAI (distributed by MIT Press), 1999-09)
    CRAW, S. and BOSWELL, R. 1999. Representing problem-solving for knowledge refinement. In: AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE. AAAI-99. Proceedings of the Sixteenth National Conference on Artificial Intelligence and The Eleventh Annual Conference on Innovative Applications of Artificial Intelligence. 18-22 July 1999. Orlando, Florida. pp. 227-234
    Knowledge refinement tools seek to correct faulty knowledge based systems (KBSs) by identifying and repairing potentially faulty rules. The goal of the KrustWorks project is to provide a source of refinement components ...