Application of a stochastic schemata exploiter for multi-objective hyper-parameter optimization of machine learning
Hiroya Makino, Eisuke Kita
| Year of publication: |
2023
|
|---|---|
| Authors: | Makino, Hiroya ; Kita, Eisuke |
| Published in: |
The review of socionetwork strategies. - Tokyo : Springer Japan, ISSN 1867-3236, ZDB-ID 2471097-0. - Vol. 17.2023, 2, p. 179-213
|
| Subject: | AutoML | Evolutionary algorithm | Hyper-parameter optimization | Stochastic schemata exploiter | Theorie | Theory | Künstliche Intelligenz | Artificial intelligence | Stochastischer Prozess | Stochastic process | Mathematische Optimierung | Mathematical programming | Evolutionärer Algorithmus | Algorithmus | Algorithm | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12626-023-00151-1 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014425714