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IEEECIT
2006
IEEE
14 years 4 months ago
ACGs: Adaptive Course Generation System - An Efficient Approach to Build E-Learning Course
Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ab...
Anh Nguyen Viet, Dam Ho Si
ATAL
2010
Springer
13 years 11 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
IADIS
2003
13 years 11 months ago
Intelligent Agents for Quality of Service Evaluation in Multimedia Services
This paper explores the issues related to developing a transparent Quality of Service (QoS) evaluation for wireless services and distributed applications. The objective of the pap...
Augustin Radu, Geneviève Baudoin
AAAI
2008
14 years 18 days ago
Zero-data Learning of New Tasks
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
ICMI
2010
Springer
141views Biometrics» more  ICMI 2010»
13 years 8 months ago
Learning and evaluating response prediction models using parallel listener consensus
Traditionally listener response prediction models are learned from pre-recorded dyadic interactions. Because of individual differences in behavior, these recordings do not capture...
Iwan de Kok, Derya Ozkan, Dirk Heylen, Louis-Phili...