Institute of Information Theory and Automation

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Bibliography

Thesis

Cross-entropy based combination of discrete probability distributions for distributed decision making

Sečkárová Vladimíra

: 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

2019-01-07 08:39