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Assessing the potential information content of multicomponent visual signals: a machine learning approach

J. P. Higham, William Allen Orcid Logo

Proceedings of the Royal Society B: Biological Sciences, Volume: 282, Issue: 1802, Pages: 20142284 - 20142284

Swansea University Author: William Allen Orcid Logo

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DOI (Published version): https://doi.org/10.1098/rspb.2014.2284

Published in: Proceedings of the Royal Society B: Biological Sciences
ISSN: 0962-8452 1471-2954
Published: 2015
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URI: https://cronfa.swan.ac.uk/Record/cronfa48723
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first_indexed 2019-02-11T11:58:00Z
last_indexed 2020-10-03T03:07:37Z
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title Assessing the potential information content of multicomponent visual signals: a machine learning approach
spellingShingle Assessing the potential information content of multicomponent visual signals: a machine learning approach
William Allen
title_short Assessing the potential information content of multicomponent visual signals: a machine learning approach
title_full Assessing the potential information content of multicomponent visual signals: a machine learning approach
title_fullStr Assessing the potential information content of multicomponent visual signals: a machine learning approach
title_full_unstemmed Assessing the potential information content of multicomponent visual signals: a machine learning approach
title_sort Assessing the potential information content of multicomponent visual signals: a machine learning approach
author_id_str_mv d6f01dd06d25fa8804daad86e251b8a5
author_id_fullname_str_mv d6f01dd06d25fa8804daad86e251b8a5_***_William Allen
author William Allen
author2 J. P. Higham
William Allen
format Journal article
container_title Proceedings of the Royal Society B: Biological Sciences
container_volume 282
container_issue 1802
container_start_page 20142284
publishDate 2015
institution Swansea University
issn 0962-8452
1471-2954
doi_str_mv https://doi.org/10.1098/rspb.2014.2284
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
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published_date 2015-12-31T03:59:20Z
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