Publication details
Thesis
Cross-entropy based combination of discrete probability distributions for distributed decision making
: MFF UK, (Praha 2015)
: GA13-13502S, GA ČR
: distributed decision making, minimum cross-entropy principle, Kullback-Leibler divergence
: http://library.utia.cas.cz/separaty/2016/AS/seckarova-0452795.pdf
(eng): 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.
: BB