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» The Consolidation of Neural Network Task Knowledge
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NPL
2002
151views more  NPL 2002»
14 years 9 months ago
Additive Composition of Supervised Self Organizing Maps
The learning of complex relationships can be decomposed into several neural networks. The modular organization is determined by prior knowledge of the problem that permits to split...
Jean-Luc Buessler, Jean-Philippe Urban, Julien Gre...
NIPS
1992
14 years 10 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 2 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
IJCNN
2000
IEEE
15 years 1 months ago
Support Vector Machines Based on a Semantic Kernel for Text Categorization
We propose to solve a text categorization task using a new metric between documents, based on a priori semantic knowledge about words. This metric can be incorporated into the def...
George Siolas, Florence d'Alché-Buc
IJCNN
2008
IEEE
15 years 3 months ago
Self-organizing neural models integrating rules and reinforcement learning
— Traditional approaches to integrating knowledge into neural network are concerned mainly about supervised learning. This paper presents how a family of self-organizing neural m...
Teck-Hou Teng, Zhong-Ming Tan, Ah-Hwee Tan