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» Learning Algorithms for Domain Adaptation
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IRMA
2000
13 years 8 months ago
Recognizing bounds of context change in on-line learning
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
CE
2008
91views more  CE 2008»
13 years 7 months ago
Mining e-Learning domain concept map from academic articles
Recent researches have demonstrated the importance of concept map and its versatile applications especially in e-Learning. For example, while designing adaptive learning materials...
Nian-Shing Chen, Kinshuk, Chun-Wang Wei, Hong-Jhe ...
ICALT
2006
IEEE
14 years 1 months ago
Domain Ontology for Personalized E-Learning in Educational Systems
This paper introduces a domain ontology to describe learning material that compose a course, capable of providing adaptive e-learning environments and reusable educational resourc...
José Manuel Gascueña, Antonio Fern&a...
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
14 years 27 days ago
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
Jaume Bacardit, Josep Maria Garrell i Guiu
IAT
2008
IEEE
13 years 7 months ago
Scaling Up Multi-agent Reinforcement Learning in Complex Domains
TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (...
Dan Xiao, Ah-Hwee Tan