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» Structured Learning of Component Dependencies in AmI Systems
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ICALT
2007
IEEE
14 years 2 months ago
A Multiagent Extension for Virtual Reality Based Intelligent Tutoring Systems
Applying Virtual Reality (VR) in combination with Intelligent Tutoring Systems (ITSs) is a promising approach to computer based learning and training. However, the classical struc...
Ricardo Imbert, Leticia Sánchez, Angé...
TNN
1998
121views more  TNN 1998»
13 years 7 months ago
Detection of mines and minelike targets using principal component and neural-network methods
— This paper introduces a new system for real-time detection and classification of arbitrarily scattered surface-laid mines from multispectral imagery data of a minefield. The ...
Xi Miao, Mahmood R. Azimi-Sadjadi, Bin Tan, A. C. ...
ICMLA
2008
13 years 9 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
13 years 11 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
ICLP
2004
Springer
14 years 1 months ago
Applying CLP to Predict Extra-Functional Properties of Component-Based Models
A component is the basic re-usable unit of composition to build composite systems by connecting to others through their provided and required ports. Checking the functional complia...
Olivier Defour, Jean-Marc Jézéquel, ...