Incremental classifier fusion for smart societies
Author:
Affiliation:
1. DFKI, Kaiserslautern, Germany
2. ITMO Uinversity, St. Petersburg, Russian Federation
Funder
Russian Science Foundation
European Commission
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3014087.3014118
Reference9 articles.
1. A. Poxrucker G. Bahle P. Lukowicz and G. Kampis 2016. An adaptive and dynamic simulation framework for incremental collaborative classifier fusion. In Andrei V. Chugunov Radomir Bolgov Yury Kabanov George Kampis and Maria Wimmer (editors): Digital Transformation and Global Society Springer LLNCS pp. 581--590. A. Poxrucker G. Bahle P. Lukowicz and G. Kampis 2016. An adaptive and dynamic simulation framework for incremental collaborative classifier fusion. In Andrei V. Chugunov Radomir Bolgov Yury Kabanov George Kampis and Maria Wimmer (editors): Digital Transformation and Global Society Springer LLNCS pp. 581--590.
2. Collaborative Knowledge Fusion by Ad-Hoc Information Distribution in Crowds
3. Towards a Real-World Simulator for Collaborative Distributed Learning in the Scenario of Urban Mobility
4. Analytical and simulation models for collaborative localization
5. Collaborative localization as a paradigm for incremental knowledge fusion
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