Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Estimation of Hopping Rates From Real Traffic Trajectories
Fajfrová, Lucie ; Hrabák, Pavel
Variety of hopping particle systems (ZRP, TASEP, MTP) have been investigated from the point of view of the traffic flow modelling. Such models are characterized by the local hopping rates determining the model dynamics. Several techniques of estimating appropriately the hopping rates from real traffic trajectories are introduced. Properties of corresponding models are discussed.
Lazy Learning of Environment Model from the Past
Štěch, J. ; Guy, Tatiana Valentine ; Pálková, B. ; Kárný, Miroslav
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.

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