0478628 - ÚI 2018 RIV DE eng C - Conference Paper (international conference)
Šabata, T. - Borovička, T. - Holeňa, MartinK-best Viterbi Semi-supervized Active Learning in Sequence Labelling.
Proceedings ITAT 2017: Information Technologies - Applications and Theory. Aachen & Charleston: Technical University & CreateSpace Independent Publishing Platform, 2017 - (Hlaváčová, J.), s. 144-152. CEUR Workshop Proceedings, V-1885. ISBN 978-1974274741. ISSN 1613-0073.
[ITAT 2017. Conference on Theory and Practice of Information Technologies - Applications and Theory /17./. Martinské hole (SK), 22.09.2017-26.09.2017]
R&D Projects: GA ČR GA17-01251S
Grant - others:ČVUT(CZ) SGS17/210/OHK3/3T/18
Institutional support: RVO:67985807
Keywords : active learning * semi-supervised learning * sequence labelling * Viterbi algorithm
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
http://ceur-ws.org/Vol-1885/144.pdf
Permanent Link: http://hdl.handle.net/11104/0274763
