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EWCBR
2006
Springer
13 years 11 months ago
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Feature selection algorithms can reduce the high dimensionality of textual cases and increase case-based task performance. However, conventional algorithms (e.g., information gain)...
Kalyan Moy Gupta, David W. Aha, Philip Moore
ICCBR
2009
Springer
14 years 2 months ago
Using Meta-reasoning to Improve the Performance of Case-Based Planning
Case-based planning (CBP) systems are based on the idea of reusing past successful plans for solving new problems. Previous research has shown the ability of meta-reasoning approac...
Manish Mehta, Santiago Ontañón, Ashw...
AI
2006
Springer
13 years 7 months ago
Learning adaptation knowledge to improve case-based reasoning
Susan Craw, Nirmalie Wiratunga, Ray Rowe
ITS
2004
Springer
204views Multimedia» more  ITS 2004»
14 years 26 days ago
FlexiTrainer: A Visual Authoring Framework for Case-Based Intelligent Tutoring Systems
The need for rapid and cost-effective development Intelligent Tutoring Systems with flexible pedagogical approaches has led to a demand for authoring tools. The authoring systems ...
Sowmya Ramachandran, Emilio Remolina, Daniel Fu
ESWA
2010
136views more  ESWA 2010»
13 years 6 months ago
Case-based adaptation for automotive engine electronic control unit calibration
The automotive engine performance is greatly affected by the calibration of its electronic control unit (ECU). The method for ECU calibration is traditionally done by trial-and-er...
Chi-Man Vong, Pak-Kin Wong