348 search results - page 1 / 70 » Genetic Algorithms as a Tool for Feature Selection in Machin... |
ICTAI
1992
IEEE
13 years 9 months ago
1992
IEEE
This paper describes an approach being explored to improve the usefulness of machine learning techniques for generating classification rules for complex, real world data. The appr...
IIS
2004
13 years 6 months ago
2004
Learning algorithms, as NN or C4.5 require adequate sets of examples. In the paper we present the usability of genetic algorithms for selection significant features. Fitness of ind...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
In this paper we generalize the LARS feature selection method to the linear SVM model, derive an efficient algorithm for it, and empirically demonstrate its usefulness as a featur...
ECML
2003
Springer
13 years 10 months ago
2003
Springer
Comparative machine learning experiments have become an important methodology in empirical approaches to natural language processing (i) to investigate which machine learning algor...
ICTAI
1993
IEEE
13 years 9 months ago
1993
IEEE
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...