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AAAI
1998
15 years 7 months ago
Learning to Predict User Operations for Adaptive Scheduling
Mixed-initiativesystemspresent the challengeof finding an effective level of interaction betweenhumans and computers. Machinelearning presents a promising approachto this problemi...
Melinda T. Gervasio, Wayne Iba, Pat Langley
ICCBR
2007
Springer
15 years 10 months ago
Application of the Revision Theory to Adaptation in Case-Based Reasoning: The Conservative Adaptation
Case-based reasoning aims at solving a problem by the adaptation of the solution of an already solved problem that has been retrieved in a case base. This paper defines an approach...
Jean Lieber
CVPR
2008
IEEE
16 years 8 months ago
An adaptive learning method for target tracking across multiple cameras
Kuan-Wen Chen, Chih-Chuan Lai, Yi-Ping Hung, Chu-S...
ICML
2003
IEEE
16 years 7 months ago
Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
When the training instances of the target class are heavily outnumbered by non-target training instances, SVMs can be ineffective in determining the class boundary. To remedy this...
Gang Wu, Edward Y. Chang
AHS
2007
IEEE
219views Hardware» more  AHS 2007»
16 years 24 days ago
A learning machine for resource-limited adaptive hardware
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...