0396771 20240103203025.920131009235959.9 12 s. P cav_un_epca*0396446978-80-903834-8-7PragueInstitute of Information Theory and Automation2013GuyTatiana V.KárnýMiroslav weighting methods parameter estimation Kerridge inaccuracy maximum entropy principle binomial distribution cav_un_auth*0263972 Sečkárová Vladimíra Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2013/AS/seckarova-a note on weighted combination methods for probability estimation.pdf GA13-13502S GA ČR cav_un_auth*0292725 SVV 267315 GA UK CZ To successfully learn from the information provided by avail- able information sources, the choice of automatic method combining them into one aggregate result plays an important role. To respect the reliability in the source’s performance each of them is assigned a weight, often subjectively influenced. To overcome this issue, we briefly describe the method based on Bayesian decision theory and elements of infor- mation theory. In particular we consider discrete-type information, rep- resented by probability mass functions (pmfs) and obtain an aggregate result, which has also form of pmf. This result of decision making pro- cess is found to be a weighted linear combination of available information. Besides the brief description of the novel method, the paper focuses on its comparison with other combination methods. Since we consider the available information and unknown aggregate as pmfs, we mainly focus on the case when the parameter of binomial distribution is of interest and the sources provide appropriate pmfs. cav_un_auth*0294526 The 3rd International Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation held in conjunction with ECML/PKDD 2013 Prague 23.09.2013-23.09.2013 CZ 2014 BD 1 PO RVO:67985556 http://hdl.handle.net/11104/0224701 1 2013 cav_un_epca*0396446 Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013 978-80-903834-8-7 Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013 Prague Institute of Information Theory and Automation 2013 Guy Tatiana V. 340 Kárný Miroslav 340