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» Dynamic Oscillating Search algorithm for feature selection
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SAC
2006
ACM
14 years 1 months ago
Exploiting partial decision trees for feature subset selection in e-mail categorization
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Helmut Berger, Dieter Merkl, Michael Dittenbach
MOC
2011
13 years 2 months ago
An optimal adaptive mixed finite element method
Abstract. Various applications in uid dynamics and computational continuum mechanics motivate the development of reliable and ecient adaptive algorithms for mixed nite element m...
Carsten Carstensen, Hella Rabus
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 8 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
CVPR
2003
IEEE
14 years 9 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
TC
2008
13 years 7 months ago
DRES: Dynamic Range Encoding Scheme for TCAM Coprocessors
One of the most critical resource management issues in the use of ternary content addressable memory (TCAM) for packet classification/filtering is how to effectively support filte...
Hao Che, Zhijun Wang, Kai Zheng, Bin Liu