Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F08%3A00099286" target="_blank" >RIV/67985556:_____/08:00099286 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples

Popis výsledku v původním jazyce

One of the hot topics discussed recently in relation to pattern recognition techniques is the question of actual performance of modern feature selection methods. Feature selection has been a highly active area of research in recent years due to its potential to improve both the performance and economy of automatic decision systems in various applicational fields, with medical diagnosis being among the most prominent. Feature selection may also improve the performance of classifiers learned from limiteddata, or contribute to model interpretability.The number of available methods and methodologies has grown rapidly while promising important improvements. Yet recently many authors put this development in question, claiming that simpler older tools are actually better than complex modern ones -- which, despite promises, are claimed to actually fail in real-world applications.

Název v anglickém jazyce

Are Better Feature Selection Methods Actually Better? Discussion, Reasoning and Examples

Popis výsledku anglicky

One of the hot topics discussed recently in relation to pattern recognition techniques is the question of actual performance of modern feature selection methods. Feature selection has been a highly active area of research in recent years due to its potential to improve both the performance and economy of automatic decision systems in various applicational fields, with medical diagnosis being among the most prominent. Feature selection may also improve the performance of classifiers learned from limiteddata, or contribute to model interpretability.The number of available methods and methodologies has grown rapidly while promising important improvements. Yet recently many authors put this development in question, claiming that simpler older tools are actually better than complex modern ones -- which, despite promises, are claimed to actually fail in real-world applications.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2008

ISBN

978-989-8111-16-6

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

—

Název nakladatele

INSTICC Press

Místo vydání

Madeira

Místo konání akce

Funchal Madeira

Datum konání akce

28. 1. 2008

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

—