A New Measure of Feature Selection Algorithms? Stability

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00337780" target="_blank" >RIV/67985556:_____/09:00337780 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/09:00033850
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
A New Measure of Feature Selection Algorithms? Stability
Original language description
Stability or robustness of feature selection methods is a topic of recent interest. A new stability measure based on the Shannon entropy is proposed in this paper to evaluate the overall occurrence of individual features in selected subsets of possibly varying cardinality. We compare the new measure to stability measures proposed recently by Somol et al. The new measure is computationally very efficient and adds another type of insight into the stability problem. All considered measures have been used to compare the stability of several feature selection methods (individually best ranking, sequential forward selection, sequential forward floating selection and dynamic oscillating search) on a set of examples.
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
ISBN
978-0-7695-3902-7
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
IEEE Computer Society
Place of publication
Washington, DC, USA
Event location
Miami, Florida
Event date
Dec 6, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)