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FLAIRS
2008
15 years 7 months ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
ATAL
2008
Springer
15 years 6 months ago
Regulating air traffic flow with coupled agents
The ability to provide flexible, automated management of air traffic is critical to meeting the ever increasing needs of the next generation air transportation systems. This probl...
Adrian K. Agogino, Kagan Tumer
UM
2005
Springer
15 years 10 months ago
Using Learning Curves to Mine Student Models
This paper presents an evaluation study that measures the effect of modifying feedback generality in an Intelligent Tutoring System (ITS) based on Student Models. A taxonomy of the...
Brent Martin, Antonija Mitrovic
FLAIRS
2000
15 years 6 months ago
A Parallel Approach to Modeling Language Learning and Understanding in Young Children
To reduce the complexity of studying a parallel mechanism for natural language learning and understanding which supports both utterance and discourse processing, we propose a comp...
Charles Hannon, Diane J. Cook
AMAI
1999
Springer
15 years 4 months ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis