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FLAIRS
2003
13 years 9 months ago
Distributed Knowledge Representation in Neural-Symbolic Learning Systems: A Case Study
Neural-symbolic integration concerns the integration of symbolic and connectionist systems. Distributed knowledge representation is traditionally seen under a purely symbolic pers...
Artur S. d'Avila Garcez, Luís C. Lamb, Krys...
WWW
2005
ACM
14 years 8 months ago
An enhanced model for searching in semantic portals
Semantic Portal is the next generation of web portals that are powered by Semantic Web technologies for improved information sharing and exchange for a community of users. Current...
Lei Zhang, Yong Yu, Jian Zhou, Chenxi Lin, Yin Yan...
AAAI
2004
13 years 9 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay

Lab
782views
15 years 7 months ago
Neural Systems Engineering Lab (NSEL)
Neural Systems Engineering Lab (NSEL) at Michigan State University focuses on advancing neuroinformatics science by engineering new theoretical, computational and experimental tool...
ISNN
2005
Springer
14 years 1 months ago
Applying Neural Networks and Geographical Information Systems to Airport Noise Evaluation
The assessment of aircraft noise is becoming an increasingly important task in ensuring sustainable airport development. Aircraft noise is influenced by many complex factors and tr...
Yingjie Yang, David Gillingwater, Chris J. Hinde