300 search results - page 27 / 60 » A genetic algorithm-based method for feature subset selectio... |
88
Voted
IBPRIA
2003
Springer
15 years 2 months ago
2003
Springer
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
104
Voted
EPS
1998
Springer
15 years 1 months ago
1998
Springer
We use the genetic programming (GP) paradigm for two tasks. The first task given a GP is the generation of rules for the target / clutter classification of a set of synthetic apert...
SEBD
2008
14 years 11 months ago
2008
Abstract Dino Ienco and Rosa Meo Dipartimento di Informatica, Universit`a di Torino, Italy In this paper we propose and test the use of hierarchical clustering for feature selectio...
IJON
2006
14 years 9 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
CIKM
2011
Springer
13 years 9 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...