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» Fast Feature Selection by Means of Projections
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ESEM
2008
ACM
13 years 10 months ago
Fit data selection for software effort estimation models
To construct a better multivariate regression model for software effort estimation, this paper proposes a method to select projects as a fit data from a given project data set bas...
Koji Toda, Akito Monden, Ken-ichi Matsumoto
EOR
2006
148views more  EOR 2006»
13 years 8 months ago
Pareto ant colony optimization with ILP preprocessing in multiobjective project portfolio selection
One of the most important, common and critical management issues lies in determining the "best" project portfolio out of a given set of investment proposals. As this dec...
Karl F. Doerner, Walter J. Gutjahr, Richard F. Har...
CIBCB
2006
IEEE
13 years 10 months ago
A New Hybrid Approach for Unsupervised Gene Selection
In recent years, unsupervised gene (feature) selection has become an integral part of microarray analysis because of the large number of genes and complexity in biological systems....
Young Bun Kim, Jean Gao
ESANN
2006
13 years 10 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
EUROMICRO
2006
IEEE
14 years 2 months ago
Value-Based Selection of Requirements Engineering Tool Support
In large software and systems engineering companies like Siemens PSE there are several requirements tools in use. There is no “one tool fits all projects/departments” solution...
Matthias Heindl, Franz Reinisch, Stefan Biffl, Ale...