Institute of Information Theory and Automation

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Bibliography

Conference Paper (international conference)

On Linear Probabilistic Opinion Pooling Based on Kullback-Leibler Divergence

Sečkárová Vladimíra

: Proceedings of the 10th Workshop on Uncertainty Processing WUPES’15, p. 231-234 , Eds: Kratochvíl V.

: WUPES 2015. Workshop on Uncertainty Processing /10./, (Monínec, CZ, 16.09.2015-19.09.2015)

: GA13-13502S, GA ČR

: linear opinion pooling, minimum cross-entropy principle, expected Kullback-Leibler divergence

: http://library.utia.cas.cz/separaty/2015/AS/seckarova-0448112.pdf

(eng): In this contribution we focus on the finite collection of sources, providing their opinions about a hidden (stochastic) phenomenon, that is not directly observable. The assumption on obtaining opinions yields a decision making process commonly referred to as opinion pooling. Due to the complexity of the space of possible decisions we consider the probability distributions over this set rather than single values, exploited before, e.g., in [2]. The final decision (result of pooling) is then a combination of probability distributions provided by sources.

: BB

2019-01-07 08:39