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EWCBR
2006
Springer
15 years 7 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 8 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
121
Voted
CCIA
2007
Springer
15 years 7 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...
123
Voted
ICML
1995
IEEE
15 years 7 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
15 years 9 months 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