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» Extraction of Symbolic Rules from Artificial Neural Networks
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IWANN
2009
Springer
14 years 2 months ago
Special Time Series Prediction: Creep of Concrete
This paper presents an algorithm, different from the classical time series, specialised in extracting knowledge from time series. The algorithm,
Juan L. Pérez, Fernando Martínez Abe...
ECAL
2001
Springer
14 years 1 days ago
Evolving Multi-agent Networks in Structured Environments
A crucial feature of evolving natural systems is parallelism. The simultaneous and distributed application of rules (governed by e.g. biochemistry) is generally considered as the p...
Thomas Glotzmann, Holger Lange, Michael Hauhs, A. ...
AI50
2006
13 years 11 months ago
Fifty Years of AI: From Symbols to Embodiment - and Back
There are many stories to tell about the first fifty years of AI. One story is about AI as one of the big forces of innovation in information technology. It is now forgotten that i...
Luc Steels
FLAIRS
2008
13 years 10 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
IWANN
2009
Springer
14 years 2 months ago
Efficient Exact Pattern-Matching in Proteomic Sequences
Abstract. This paper proposes a novel algorithm for complete exact patternmatching focusing the specificities of protein sequences (alphabet of 20 symbols) but, also highly efficie...
Sérgio A. D. Deusdado, Paulo M. M. Carvalho