SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency

Maria Arostegi, Jesus L. Lobo, Javier Del Ser. SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme Verification Latency. In Georg Krempl, Vincent Lemaire 0001, Daniel Kottke, Andreas Holzinger, Barbara Hammer, editors, Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain, September 13, 2021. Volume 3079 of CEUR Workshop Proceedings, pages 50-64, CEUR-WS.org, 2021. [doi]

Abstract

Abstract is missing.