Feature selection using stochastic approximation with Barzilai and Borwein non-monotone gains
Vural Aksakalli, Zeren D. Yenice, Milad Malekipirbazari, Kamyar Kargar
| Year of publication: |
2021
|
|---|---|
| Authors: | Aksakalli, Vural ; Yenice, Zeren D. ; Malekipirbazari, Milad ; Kargar, Kamyar |
| Published in: |
Computers & operations research : and their applications to problems of world concern ; an international journal. - Oxford [u.a.] : Elsevier, ISSN 0305-0548, ZDB-ID 194012-0. - Vol. 132.2021, p. 1-14
|
| Subject: | Barzilai and Borwein method | Explainable artificial intelligence | Feature selection | Genetic algorithm | Gradient descent | Stochastic approximation | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Stochastischer Prozess | Stochastic process | Evolutionärer Algorithmus | Evolutionary algorithm | Mathematische Optimierung | Mathematical programming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2021.105334 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012595743