Počet záznamů: 1

Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data

  1. 1.
    0352234 - UTIA-B 2011 RIV CZ eng C - Konferenční příspěvek (zahraniční konf.)
    Sečkárová, Vladimíra
    Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data.
    Decision Making with Multiple Imperfect Decision Makers. Prague: Institute of Information Theory and Automation Academy of Sciences of the Czech Republic, 2010 - (Guy, T.; Karny, M.; Wolpert, D.), s. 1-6. ISBN 978-80-903834-5-6.
    [24th Annual Conference on Neural Information Processing Systems. Whistler, B.C. Canada (CA), 06.12.2010-11.12.2010]
    Grant CEP: GA ČR GA102/08/0567; GA MŠk 1M0572
    Výzkumný záměr: CEZ:AV0Z10750506
    Klíčová slova: Bayesian decision making * Supra-Bayesian approach * sharing of probabilistic information
    Kód oboru RIV: BC - Teorie a systémy řízení
    http://library.utia.cas.cz/separaty/2010/AS/seckarova-supra-bayesian approach to merging of incomplete and incompatible data.pdf http://library.utia.cas.cz/separaty/2010/AS/seckarova-supra-bayesian approach to merging of incomplete and incompatible data.pdf

    In practice we often need to take every available information into account. Unfortunately the pieces of information given by different sources are often incomplete (with respect to what we are interested in) and have different forms. In this work we try to solve the problem of treating such data in order to get an optimal merger of them. We present a systematic and unified way how to combine the pieces of information by using a Supra-Bayesian approach and other mathematical tools, e.g. Kerridge inaccuracy, maximum entropy principle. To show how the proposed method works a simple example is given at the end of the work.
    Trvalý link: http://hdl.handle.net/11104/0191792