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Probabilistic Active Learning for Active Class Selection

, , , , , , , , и . Proc. of the NIPS Workshop on the Future of Interactive Learning Machines, (2016)

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Hans Krempl

Hans Krempl

Arnold Krempl

Heiko Krempl

Stefan Krempl

 

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Temporal Aspects of Stream Active Learning, , и . (2016)Toward optimal probabilistic active learning using a Bayesian approach, , , , , и . Machine Learning, 110 (6): 1199--1231 (2021)Implementation of and experimental software for active selection of classification features., , и . Softw. Impacts, (2021)Online Clustering of High-Dimensional Trajectories under Concept Drift., , и . ECML/PKDD (2), том 6912 из Lecture Notes in Computer Science, стр. 261-276. Springer, (2011)Clustering-Based Optimised Probabilistic Active Learning (COPAL)., , и . Discovery Science, том 9356 из Lecture Notes in Computer Science, стр. 101-115. Springer, (2015)Stream-based active learning for sliding windows under the influence of verification latency, , , и . Machine Learning, 111 (6): 2011--2036 (2022)Learning from monitoring unlabelled data under large verification latency, и . (2016)Temporal density extrapolation using a dynamic basis approach., , и . Data Min. Knowl. Discov., 33 (5): 1323-1356 (2019)Tutorial: Interactive Adaptive Learning., , , и . IAL@PKDD/ECML, том 3470 из CEUR Workshop Proceedings, стр. 1-8. CEUR-WS.org, (2023)Advanced Topics on Data Stream Mining: Part II. Mining Multiple Streams, , и . Tutorial at the 23rd Europ. Conf. on Machine Learning and16th Europ. Conf. on Principles and Practice ofKnowledge Discovery in Databases (ECML PKDD\'12), (24-28 09 2012)