Počet záznamů: 1
Supra-Bayesian Approach to Merging of Incomplete and Incompatible Data
- 1.0352234 - ÚTIA 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 MŠMT 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
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
Počet záznamů: 1