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NN
1998
Springer
108views Neural Networks» more  NN 1998»
15 years 2 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
ICONIP
1998
15 years 3 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...
AR
2008
118views more  AR 2008»
15 years 2 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada
ETS
2002
IEEE
99views Hardware» more  ETS 2002»
15 years 2 months ago
Online Learning Technology in an SME Work-Based Setting
Over the last 20 years there has been increasing interest in work-based learning in the UK business sector as a means to improve and increase the skills of the UK workforce. The m...
Bernd Brink, John Munro, Mike Osborne
IFSA
2007
Springer
102views Fuzzy Logic» more  IFSA 2007»
15 years 8 months ago
Strict Generalization in Multilayered Perceptron Networks
Typically the response of a multilayered perceptron (MLP) network on points which are far away from the boundary of its training data is not very reliable. When test data points ar...
Debrup Chakraborty, Nikhil R. Pal