Detail publikace

Comparison of stability measures for feature selection

DROTÁR, P. SMÉKAL, Z.

Originální název

Comparison of stability measures for feature selection

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The feature selection is inevitable part of machine learning techniques in biomedical engineering and bioinformatics. Feature selection methods are used to select the most discriminative features, e.g. for disease classification. even if there are plenty of feature selection methods the stability of these algorithms is still open question. Another issue with assessing stability of feature selection is that there are several stability measures providing different views on stability.

Klíčová slova

feature selection, feature selection stability, bioinformatics, machine learning

Autoři

DROTÁR, P.; SMÉKAL, Z.

Rok RIV

2015

Vydáno

22. 1. 2015

Nakladatel

IEEE

Místo

USA

ISBN

978-1-4799-8220-2

Kniha

IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2015

Strany od

71

Strany do

75

Strany počet

5

URL

https://ieeexplore.ieee.org/document/7061849

BibTex

@inproceedings{BUT114023,
  author="Peter {Drotár} and Zdeněk {Smékal}",
  title="Comparison of stability measures for feature selection",
  booktitle="IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2015",
  year="2015",
  pages="71--75",
  publisher="IEEE",
  address="USA",
  doi="10.1109/SAMI.2015.7061849",
  isbn="978-1-4799-8220-2",
  url="https://ieeexplore.ieee.org/document/7061849"
}