Efficient and sparse neural networks by pruning weights in a multiobjective learning approach
Malena Reiners, Kathrin Klamroth, Fabian Heldmann, Michael Stiglmayr
| Year of publication: |
2022
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|---|---|
| Authors: | Reiners, Malena ; Klamroth, Kathrin ; Heldmann, Fabian ; Stiglmayr, Michael |
| 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. 141.2022, p. 1-16
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| Subject: | -regularization | Automated machine learning | Multiobjective learning | Stochastic multi-gradient descent | Unstructured pruning | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Lernprozess | Learning process | Multikriterielle Entscheidungsanalyse | Multi-criteria analysis | Lernen | Learning | Mathematische Optimierung | Mathematical programming | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.cor.2021.105676 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013185139