Počet záznamů: 1
Scalable Decision Making: Uncertainty, Imperfection, Deliberation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013)
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SYSNO ASEP 0396745 Druh ASEP G - Konferenční sborník (mezinárodní konf.) Zařazení RIV O - Ostatní Název Scalable Decision Making: Uncertainty, Imperfection, Deliberation, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2013) Tvůrce(i) Guy, Tatiana Valentine (UTIA-B ed.) RID, ORCID
Kárný, Miroslav (UTIA-B ed.) RID, ORCIDCelkový počet autorů 29 Vyd. údaje Prague: ÚTIA AV ČR, v.v.i, 2013 ISBN 978-80-903834-8-7 Poč.str. 112 s. Poč.výt. 40 Forma vydání Tištěná - P Akce European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDO 2013) Datum konání 23.09.2013-27.09.2013 Místo konání Prague Země CZ - Česká republika Typ akce WRD Jazyk dok. eng - angličtina Země vyd. CZ - Česká republika Klíč. slova scalable ; decision making ; uncertainty ; imperfection ; deliberation Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP GA13-13502S GA ČR - Grantová agentura ČR Institucionální podpora UTIA-B - RVO:67985556 Anotace Machine learning (ML) and knowledge discovery both use and serve to decision making (DM), which has to cope with uncertainty, incomplete knowledge, problem and data complexity and imperfection (limited cognitive and evaluating capabilities) of the involved heterogeneous multiple participants (aka agents, decision makers, components, controllers, classifiers, etc.). Contemporary DM deals with complex systems characterised by heterogeneous components and their goal-motivated dynamic interactions. The individual participants are selfish, i.e. follow their individual goals. There is no well-justified way to influence or describe the resulting collective behaviour of such a system via a well-proved combination of the selfish components. Economic and natural sciences describe concepts governing the functioning of systems of selfish participants as well as ways influencing their behaviour. However, the majority of solutions rely on the human moderator/manager controlling such a system. Pracoviště Ústav teorie informace a automatizace Kontakt Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Rok sběru 2014
Počet záznamů: 1