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 Applied Simulation (IAS)
Appears in collections:Publikationen Life Sciences und Facility Management

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