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» The importance of learning in fuzzy systems
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ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment
: Personalized Education (PE) emphasizes the importance of individual differences in learning. To deliver personalized e-learning services and content, PE encompasses the abilities...
Apple W. P. Fok, H. S. Wong, Y. S. Chen
FLAIRS
2000
13 years 10 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
CONEXT
2006
ACM
14 years 2 months ago
Learning for accurate classification of real-time traffic
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...
Wei Li, Andrew W. Moore
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 2 months ago
Post-processing clustering to reduce XCS variability
XCS is a stochastic algorithm, so it does not guarantee to produce the same results when run with the same input. When interpretability matters, obtaining a single, stable result ...
Flavio Baronti, Alessandro Passaro, Antonina Stari...
IJMMS
2007
145views more  IJMMS 2007»
13 years 8 months ago
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
Ashish Kapoor, Winslow Burleson, Rosalind W. Picar...