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Bibliografie

Conference Paper (international conference)

Lazy Learning of Environment Model from the Past

Štěch J., Guy Tatiana Valentine, Pálková B., Kárný Miroslav

: SPMS 2015, p. 1-10 , Eds: Hobza Tomáš

: Stochastic and Physical Monitoring Systems (SPMS2015), (Drhleny, CZ, 22.06.2015-27.06.2015)

: GA13-13502S, GA ČR

: Lazy learning, local modelling, prediction for optimisation

: http://library.utia.cas.cz/separaty/2015/AS/guy-0452709.pdf

(eng): The paper addresses a lazy learning (LL) approach to decision making (DM) problem described in fully probabilistic way. The key idea of LL is to simplify the actual DM problem by using past DM problems similar to the current one. The approach can decrease computation complexity and increase quality of learning when no rich alternative information available. The proposed LL approach helps to learn the environment model based on a proximity of the past and current DM problem with Kullback-Leibler divergence serving as a proximity measure. The implemented algorithm is verified on the real data. The results show that the proposed approach improves prediction quality.

: BB

07.01.2019 - 08:39