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ACSOS 2020
Mon 17 - Fri 21 August 2020
Wed 19 Aug 2020 18:45 - 19:10 at Presentation Room C - PhD Symposium Session B Chair(s): Phyllis Nelson, Barry Porter

In the context of Autonomous Learning, the question arises how an online learning system adapts its knowledge according to a changing environment, i.e. arrival of new classes or changing noise functions, to maintain a robust level of performance. As a solution, we suggest an architectural design inspired by a variant of the Observer/Controller framework. We present a scenario, in which the presented architecture is assumed to improve the performance, because the system is aware of currently available knowledge and can opportunistically exploit this knowledge.

Conference Day
Wed 19 Aug

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18:45 - 20:00
PhD Symposium Session BDoctoral Symposium at Presentation Room C
Chair(s): Phyllis NelsonCalifornia State Polytechnic University Pomona, Barry PorterLancaster University
Doctoral symposium paper
Opportunistic Knowledge Adaption in Self-Learning Systems
Doctoral Symposium
Simon ReichhuberChristian-Albrechts-Universität zu Kiel
Doctoral symposium paper
A Self-Adaptive Blockchain Framework to Balance Performance, Security, and Energy Consumption in IoT applications
Doctoral Symposium
Mohammadreza RasolroveicyPolytechnique Montréal
Live Q&A
PhD Symposium Plenary Q&A
Doctoral Symposium