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» Digital data networks design using genetic algorithms
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DATAMINE
2002
125views more  DATAMINE 2002»
13 years 8 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
13 years 9 months ago
Fitness importance for online evolution
To complement standard fitness functions, we propose "Fitness Importance" (FI) as a novel meta-heuristic for online learning systems. We define FI and show how it can be...
Philip Valencia, Raja Jurdak, Peter Lindsay
BMCBI
2006
202views more  BMCBI 2006»
13 years 9 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau
INFOCOM
2005
IEEE
14 years 2 months ago
Designing wireless radio access networks for third generation cellular networks
— In third generation (3G) cellular networks, base stations are connected to base station controllers by pointto-point (usually T1/E1) links. However, today’s T1/E1 based backh...
Tian Bu, Mun Choon Chan, Ramachandran Ramjee
ESWA
2007
176views more  ESWA 2007»
13 years 9 months ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang