k-best feature selection and ranking via stochastic approximation-Reference-Cited by-同舟云学术

k-best feature selection and ranking via stochastic approximation

Published:2023-03 Issue: Volume:213 Page:118864
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Akman David V.,Malekipirbazari Milad^ORCID,Yenice Zeren D.^ORCID,Yeo Anders,Adhikari Niranjan^ORCID,Wong Yong Kai,Abbasi Babak^ORCID,Gumus Alev Taskin^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

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