| Publication type: | Conference paper |
| Type of review: | Peer review (abstract) |
| Title: | The collaborative learning cellular automata density classification problem |
| Authors: | Schüle, Martin |
| et. al: | No |
| Proceedings: | Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications |
| Pages: | 268 |
| Conference details: | International Symposium on Nonlinear Theory and its Applications (NOLTA), Okinawa, Japan, 16–19 November 2020 |
| Issue Date: | 16-Nov-2020 |
| Language: | English |
| Subject (DDC): | 006: Special computer methods |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/21234 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
| Appears in collections: | Publikationen Life Sciences und Facility Management |
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