0452795 20240103211449.820160215235959.9 Cross-entropy based combination of discrete probability distributions for distributed decision making Praha MFF UK 2015 80 s. P distributed decision making minimum cross-entropy principle Kullback-Leibler divergence 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/2016/AS/seckarova-0452795.pdf GA13-13502S GA ČR cav_un_auth*0292725 In this work we propose a systematic way to combine discrete probability distributions based on decision making theory and theory of information, namely the cross-entropy (also known as the Kullback-Leibler (KL) divergence). The optimal combination is a probability mass function minimizing the conditional expected KL-divergence. 2016 BB 14.09.2015 Ph.D. Ústav teorie informace a automatizace AV ČR Praha 2015 RVO:67985556 http://hdl.handle.net/11104/0257075 S 2015 2015 Praha MFF UK