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Assessing the potential information content of multicomponent visual signals: a machine learning approach
Proceedings of the Royal Society B: Biological Sciences, Volume: 282, Issue: 1802, Pages: 20142284 - 20142284
Swansea University Author: William Allen
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DOI (Published version): https://doi.org/10.1098/rspb.2014.2284
Abstract
Assessing the potential information content of multicomponent visual signals: a machine learning approach
Published in: | Proceedings of the Royal Society B: Biological Sciences |
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ISSN: | 0962-8452 1471-2954 |
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2015
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URI: | https://cronfa.swan.ac.uk/Record/cronfa48723 |
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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 |
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d6f01dd06d25fa8804daad86e251b8a5 |
author_id_fullname_str_mv |
d6f01dd06d25fa8804daad86e251b8a5_***_William Allen |
author |
William Allen |
author2 |
J. P. Higham William Allen |
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Journal article |
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Proceedings of the Royal Society B: Biological Sciences |
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282 |
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1802 |
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20142284 |
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Swansea University |
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0962-8452 1471-2954 |
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https://doi.org/10.1098/rspb.2014.2284 |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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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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11.030165 |