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ESANN
2004
15 years 2 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
FLAIRS
2004
15 years 2 months ago
Physical Approximations for Urban Fire Spread Simulations
The issue of fire propagation in cities is of obvious importance to Civil Authorities, but does present issues of computational complexity. Our basic assumption is that some event...
Daniel J. Bertinshaw, Hans W. Guesgen
FLAIRS
2004
15 years 2 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
EGITALY
2006
15 years 2 months ago
Recovering 3D architectural information from dense digital models of buildings
In recent years the progress of 3D scanning technologies and the consequent growing commercialization of scanners opened a large spectrum of opportunities for many professionals. ...
A. Spinelli, Fabio Ganovelli, Claudio Montani, Rob...
ESANN
2006
15 years 2 months ago
Dynamical reservoir properties as network effects
It has been proposed that chaos can serve as a reservoir providing an infinite number of dynamical states [1, 2, 3, 4, 5]. These can be interpreted as different behaviors, search a...
Carlos Lourenço
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