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By Barry Smyth (auth.), Enrico Blanzieri, Luigi Portinale (eds.)
This publication constitutes the refereed lawsuits of the fifth eu Workshop on Case-Based Reasonning, EWCBR 2000, held in Trento, Italy in September 2000. The forty revised complete papers awarded including invited contributions have been conscientiously reviewed and chosen for inclusion within the e-book. All curves matters in case-based reasoning, starting from foundational and theoretical features to complex functions in a variety of fields are addressed.
Read Online or Download Advances in Case-Based Reasoning: 5th European Workshop, EWCBR 2000 Trento, Italy, September 6–9, 2000 Proceedings PDF
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Extra info for Advances in Case-Based Reasoning: 5th European Workshop, EWCBR 2000 Trento, Italy, September 6–9, 2000 Proceedings
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In subsequent iterations more clauses will appear until the stopping criterion is satisfied. Therefore recursive rules like the following appear: tag(A,B,art)← window(A,B,L1,L2,L3,L4,R1,R2,R3,R4),tag(A,L1,prep), tag(A,R1,n),tag(A,L2,n),tag(A,R2,virg),tag(A,L3,prep),!. tag(A,B,art)← window(A,B,L1,L2,L3,L4,R1,R2,R3,R4), word(A,B,a), tag(A,R2,prep), tag(A,R3,n),tag(A,R4,prep),!. 30 Alneu de Andrade Lopes and Alípio Jorge In general, the total number of iterations depends on the data, the language, and the underlying learning algorithm employed.
1998: “A CBR Architecture for Project Knowledge Management”, in Advances in CBR (Smyth B. ), Springer-Verlag. 47 3. Brachman R. , McGuinness D. , Patel-Schneider P.
The first four iterations use the CSC(RC1) algorithm and in the last one we use the algorithms CBR, RC1, and RC2 Figure 1 shows the coverage vs. error rate obtained using the CSC(ALG) in each iteration. In the first 4 iterations ALG is the rule learner RC1. In the last iteration we have used the algorithm CBR (Case Based Reasoning with an overlapping metric), RC1 with a new set of parameters of quality to answer the remaining cases, and RC2 (using explanations). The total number of iterations of the learning process depends on the data, the language, and the quality parameters (minimal confidence, support and selection algorithm).