Genetic ensemble feature selection
Ganesh J. Prabu · The Mathematics Enthusiast · 2000
A c k n o w l e d g e m e n t s hi 1 I n t r o d u c t i o n 1 2 R e l a t e d W o r k : 4 2.1 Learning Algorithms 4 2.1.1 Backpropagation 5 2.1.2 Naive Bayesian 6 2.1.3 K-nearest neighbor 8 2.1.4 Probabilistic Neural Networks 10 2.2 Ensembles 12 2.3 Feature Selection 13 2.4 Genetic Algorithms 15 3 G e n e t i c E n s e m b l e F e a t u r e S e l e c t i o n 17 3.1 The GEFS Algorithm 17 3.2 Genetic Operators 20 3.3 Extensions to GEFS 20 4 M e t h o d o l o g y 21 5 R e s u l t s 27 5.1 Classification Tasks 27 5.2 Regression Tasks 37 6 D is c u s s io n a n d F u t u r e W o r k 44 7 C o n c l u s i o n 46 8 R e f e r e n c e s 47