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» Wavelet Neural Networks with a Hybrid Learning Approach
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JSA
1998
74views more  JSA 1998»
14 years 11 months ago
Windowed active sampling for reliable neural learning
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
Emilia I. Barakova, Lambert Spaanenburg
ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 5 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
IEEEICCI
2002
IEEE
15 years 4 months ago
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-...
ICANN
2003
Springer
15 years 5 months ago
The Acquisition of New Categories through Grounded Symbols: An Extended Connectionist Model
Abstract. Solutions to the symbol grounding problem, in psychologically plausible cognitive models, have been based on hybrid connectionist/symbolic architectures, on robotic appro...
Alberto Greco, Thomas Riga, Angelo Cangelosi
FLAIRS
2003
15 years 1 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...