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» A Comparison of Genetic Network Models
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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 4 months ago
Automatic Design of ANNs by Means of GP for Data Mining Tasks: Iris Flower Classification Problem
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...
Daniel Rivero, Juan R. Rabuñal, Julian Dora...
INFOCOM
1999
IEEE
15 years 2 months ago
A Model for Window Based Flow Control in Packet-Switched Networks
Recently, networks have increased rapidly both in scale and speed. Problems related to the control and management are of increasing interest. The average throughput and end-to-end ...
Xiaowei Yang
EUSFLAT
2001
108views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
Intelligent modelling of the indoor climate in buildings by soft computing
The paper considers the application of soft computing techniques for predictive modelling in the built sector. TakagiSugeno fuzzy models are built by subtractive clustering to pro...
Alexander Gegov
ICPR
2010
IEEE
14 years 8 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 7 months ago
Subgroup Discovery Meets Bayesian Networks -- An Exceptional Model Mining Approach
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
Wouter Duivesteijn, Arno J. Knobbe, Ad Feelders, M...