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EMO
2009
Springer
147views Optimization» more  EMO 2009»
14 years 4 months ago
Application of MOGA Search Strategy to SVM Training Data Selection
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...
Tomoyuki Hiroyasu, Masashi Nishioka, Mitsunori Mik...
IWANN
2005
Springer
14 years 3 months ago
Heuristic Search over a Ranking for Feature Selection
In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited feature set for distinguishing experiment classes in hig...
Roberto Ruiz, José Cristóbal Riquelm...
TFS
2008
77views more  TFS 2008»
13 years 10 months ago
Nonstationary Fuzzy Sets
In this paper, the notion termed a "nonstationary fuzzy set" is introduced, and the concept of a perturbation function that is used for generating nonstationary fuzzy set...
Jonathan M. Garibaldi, Marcin Jaroszewski, Salang ...
AIEDAM
1998
87views more  AIEDAM 1998»
13 years 9 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
FGR
2006
IEEE
173views Biometrics» more  FGR 2006»
14 years 4 months ago
Facial Feature Detection and Tracking with Automatic Template Selection
We describe an accurate and robust method of locating facial features. The method utilises a set of feature templates in conjunction with a shape constrained search technique. The...
David Cristinacce, Timothy F. Cootes