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CLEIEJ
2007
152views more  CLEIEJ 2007»
13 years 5 months ago
Gene Expression Analysis using Markov Chains extracted from RNNs
Abstract. This paper present a new approach for the analysis of gene expression, by extracting a Markov Chain from trained Recurrent Neural Networks (RNNs). A lot of microarray dat...
Igor Lorenzato Almeida, Denise Regina Pechmann Sim...
ICML
1991
IEEE
13 years 9 months ago
Constructive Induction in Knowledge-Based Neural Networks
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
IJAR
2006
133views more  IJAR 2006»
13 years 5 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
KES
2010
Springer
13 years 4 months ago
Extracting a Keyword Network of Flood Disaster Measures
For rapid and effective recovery from a flood disaster, an anti-disaster headquarters must not only assess the extent of damage, but also possess overall knowledge of the possibl...
Motoki Miura, Mitsuhiro Tokuda, Daiki Kuwahara
IJCNN
2006
IEEE
13 years 11 months ago
An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina
— Our paper presents a fully automated computational mechanism for targeting a space-variant retina based on the highlevel visual content of a scene. Our retina’s receptive fie...
Sanjeeva Balasuriya, Paul Siebert