Results of the Active Learning Challenge

Guyon, I, Cawley, G, Dror, G and Lemaire, V (2011) Results of the Active Learning Challenge. In: Workshop on Active Learning and Experimental Design. JMLR Workshop and Conference Proceedings, 16 . Microtome, pp. 19-45.

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We organized a machine learning challenge on “active learning”, addressing problems where labeling data is expensive, but large amounts of unlabeled data are available at low cost. Examples include handwriting and speech recognition, document classi?cation, vision tasks, drug design using recombinant molecules and protein engineering. The algorithms may place a limited number of queries to get new sample labels. The design of the challenge and its results are summarized in this paper and the best contributions made by the participants are included in these proceedings. The website of the challenge remains open as a resource for students and researchers (

Item Type: Book Section
Faculty \ School: Faculty of Science > School of Computing Sciences

University of East Anglia > Faculty of Science > Research Groups > Computational Biology (subgroups are shown below) > Machine learning in computational biology
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Depositing User: Pure Connector
Date Deposited: 05 Jan 2016 16:00
Last Modified: 29 Jul 2021 23:36

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