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» Problems of learning in multi-agent systems
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IVC
2000
104views more  IVC 2000»
15 years 4 months ago
Learning spatio-temporal patterns for predicting object behaviour
Rule-based systems employed to model complex object behaviours, do not necessarily provide a realistic portrayal of true behaviour. To capture the real characteristics in a specif...
Neil Sumpter, Andrew J. Bulpitt
ICPP
2006
IEEE
15 years 10 months ago
Performance Modeling based on Multidimensional Surface Learning for Performance Predictions of Parallel Applications in Non-Dedi
Modeling the performance behavior of parallel applications to predict the execution times of the applications for larger problem sizes and number of processors has been an active ...
Jay Yagnik, H. A. Sanjay, Sathish S. Vadhiyar
KES
2006
Springer
15 years 4 months ago
Intelligent Environment for Training of Power Systems Operators
Training of operators has become an important problem to be faced by power systems: updating knowledge and skills. An operator must comprehend the physical operation of the process...
Gustavo Arroyo-Figueroa, Yasmín Herná...
ICMCS
2005
IEEE
166views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Mediamill: Searching Multimedia Archives Based on Learned Semantics
Video is about to conquer the Internet. Real-time delivery of video content is technically possible to any desktop and mobile device, even with modest connections. The main proble...
Cees G. M. Snoek, Dennis Koelma, Jeroen van Rest, ...
AIED
2005
Springer
15 years 10 months ago
The Effect of Explaining on Learning: a Case Study with a Data Normalization Tutor
: Several studies have shown that explaining actions increases students’ knowledge. In this paper, we discuss how NORMIT supports self-explanation. NORMIT is a constraint-based t...
Antonija Mitrovic