554 search results - page 57 / 111 » Variable selection using neural-network models |
EAAI
2006
14 years 9 months ago
2006
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
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AUSAI
2007
Springer
15 years 1 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
BMCBI
2005
14 years 9 months ago
2005
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...