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EWCBR
2006
Springer
15 years 10 months ago
Evaluating CBR Systems Using Different Data Sources: A Case Study
The complexity and high construction cost of case bases make it very difficult, if not impossible, to evaluate a CBR system, especially a knowledge-intensive CBR system, using stat...
Mingyang Gu, Agnar Aamodt
AI
2003
Springer
15 years 11 months ago
Case Authoring from Text and Historical Experiences
The problem of repair and maintenance of complex systems, such as aircraft, cars and trucks is certainly a nontrivial task. Maintenance technicians must use a great amount of knowl...
Marvin Zaluski, Nathalie Japkowicz, Stan Matwin
CCIA
2007
Springer
15 years 10 months ago
Assessing Confidence in Cased Based Reuse Step
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...
F. Alejandro García, Javier Orozco, Jordi G...
ICML
1995
IEEE
15 years 10 months ago
Learning with Rare Cases and Small Disjuncts
Systems that learn from examples often create a disjunctive concept definition. Small disjuncts are those disjuncts which cover only a few training examples. The problem with sma...
Gary M. Weiss
ICCBR
2007
Springer
16 years 19 days ago
Mining Large-Scale Knowledge Sources for Case Adaptation Knowledge
Abstract. Making case adaptation practical is a longstanding challenge for casebased reasoning. One of the impediments to widespread use of automated case adaptation is the adaptat...
David B. Leake, Jay H. Powell