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» Dynamic Oscillating Search algorithm for feature selection
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CEC
2005
IEEE
14 years 1 months ago
Coarse graining in an evolutionary algorithm with recombination, duplication and inversion
A generalised form of recombination, wherein an offspring can be formed from any of the genetic material of the parents, is analysed in the context of a two-locus recombinative G...
Christopher R. Stephens, Riccardo Poli
ACG
2009
Springer
14 years 2 months ago
Automated Discovery of Search-Extension Features
One of the main challenges with selective search extensions is designing effective move categories (features). This is a manual trial and error task, which requires both intuition...
Pálmi Skowronski, Yngvi Björnsson, Mar...
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 8 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman
NIPS
2000
13 years 9 months ago
Feature Selection for SVMs
We introduce a method of feature selection for Support Vector Machines. The method is based upon finding those features which minimize bounds on the leave-one-out error. This sear...
Jason Weston, Sayan Mukherjee, Olivier Chapelle, M...
PAKDD
2000
ACM
124views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Feature Selection for Clustering
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
Manoranjan Dash, Huan Liu