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IJON
2006
132views more  IJON 2006»
14 years 11 months ago
A binary neural decision table classifier
In this paper, we introduce a neural network -based decision table algorithm. We focus on the implementation details of the decision table algorithm when it is constructed using t...
Victoria J. Hodge, Simon O'Keefe, Jim Austin
IWANN
1999
Springer
15 years 4 months ago
Blind Inversion of Wiener Systems
In this paper, a new algorithm for blind inversion of Wiener systems is presented. The algorithm is based on minimization of mutual information of the output samples. This minimiz...
Anisse Taleb, Jordi Solé i Casals, Christia...
NN
1998
Springer
108views Neural Networks» more  NN 1998»
14 years 11 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
BIOADIT
2006
Springer
15 years 3 months ago
Attractor Memory with Self-organizing Input
We propose a neural network based autoassociative memory system for unsupervised learning. This system is intended to be an example of how a general information processing architec...
Christopher Johansson, Anders Lansner
CIT
2004
Springer
15 years 3 months ago
Adaptive Neural Network-Based Clustering of Yeast Protein-Protein Interactions
Abstract. In this paper, we presents an adaptive neural network based clustering method to group protein
Jae-Hong Eom, Byoung-Tak Zhang