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ECAI
1990
Springer
14 years 1 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
IJCAI
2001
13 years 11 months ago
Using Case-Base Data to Learn Adaptation Knowledge for Design
One advantage of Case-Based Reasoning (CBR) is the relative ease of constructing and maintaining CBR systems, especially as a number of commercial CBR tools are available. However...
Jacek Jarmulak, Susan Craw, Ray Rowe
HIS
2004
13 years 11 months ago
A Case-Based Recommender for Task Assignment in Heterogeneous Computing Systems
Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
S. Ghanbari, Mohammad Reza Meybodi, Kambiz Badie
KELSI
2004
Springer
14 years 3 months ago
Multiple-Instance Case-Based Learning for Predictive Toxicology
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
Eva Armengol, Enric Plaza
HICSS
2008
IEEE
132views Biometrics» more  HICSS 2008»
14 years 4 months ago
Support of Case-Based Authentic Learning Activities: A Collaborative Case Commenting Tool and a Collaborative Case Builder
Cases are widely used in professional education to engage learners with examples of real world practices. Collaboration in casebased learning can add to the authenticity of the ex...
Lu Xiao, John M. Carroll, Pat Clemson, Mary Beth R...