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Feature selection algorithm under conditions of noisy data and limited recording

Scott Yang Orcid Logo, Saritha Arunkumar

Swansea University Author: Scott Yang Orcid Logo

Published: US Patent 10,318,892
URI: https://cronfa.swan.ac.uk/Record/cronfa58932
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first_indexed 2021-12-06T22:01:06Z
last_indexed 2023-03-14T04:17:19Z
id cronfa58932
recordtype SURis
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spelling 2023-03-13T14:22:46.8590017 v2 58932 2021-12-06 Feature selection algorithm under conditions of noisy data and limited recording 81dc663ca0e68c60908d35b1d2ec3a9b 0000-0002-6618-7483 Scott Yang Scott Yang true false 2021-12-06 SCS Patent / published patent application US Patent 10,318,892 0 0 0 0001-01-01 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2023-03-13T14:22:46.8590017 2021-12-06T21:58:01.6096216 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Scott Yang 0000-0002-6618-7483 1 Saritha Arunkumar 2
title Feature selection algorithm under conditions of noisy data and limited recording
spellingShingle Feature selection algorithm under conditions of noisy data and limited recording
Scott Yang
title_short Feature selection algorithm under conditions of noisy data and limited recording
title_full Feature selection algorithm under conditions of noisy data and limited recording
title_fullStr Feature selection algorithm under conditions of noisy data and limited recording
title_full_unstemmed Feature selection algorithm under conditions of noisy data and limited recording
title_sort Feature selection algorithm under conditions of noisy data and limited recording
author_id_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b
author_id_fullname_str_mv 81dc663ca0e68c60908d35b1d2ec3a9b_***_Scott Yang
author Scott Yang
author2 Scott Yang
Saritha Arunkumar
format Patent
institution Swansea University
publisher US Patent 10,318,892
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 Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 0001-01-01T04:15:51Z
_version_ 1763754063779856384
score 11.035634

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