National Repository of Grey Literature 16 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Comparison of mixture-based classification with the data-dependent pointer model for various types of components
Likhonina, Raissa ; Suzdaleva, Evgenia ; Nagy, Ivan
The presented report is devoted to the analysis of a data-dependent pointer model, whether it brings some advantages in comparison with a data-independent pointer model at simulation and estimation of components referring to different types of distribution, including categorical, uniform, exponential and state-space components for a dynamic data-dependent model, and normal components for a static data-dependent pointer model.
Validation Experiments for Fuel Consumption Optimization Algorithm
Nagy, Ivan ; Suzdaleva, Evgenia ; Pecherková, P.
The paper presents actual results of the project oriented at development of algorithms for the advising system for eco-driving. The paper discusses the experiments for validation of the control algorithm used for the fuel consumption optimization problem within the project.
Experiments with PID controller for fuel consumption optimization
Suzdaleva, Evgenia ; Nagy, Ivan
This research report describes experiments performed with a Matlab simulator of a vehicle, controlled by a PID controller. The aim of control is to reduce fuel consumption and simultaneously keep the recommended safe speed.
Example creation system
Suzdaleva, Evgenia ; Nagy, Ivan ; Dungl, Martin
The technical report describes a system for creation of examples for fully probabilistic dynamic decision making. It represents a documentation for author who wishes to create examples for PhD students or to add their new developed algorithms to the system.
Pravděpodobnostní přístup k analyze dopravních nehod s úmrtím
Suzdaleva, Evgenia ; Nagy, Ivan
The paper is devoted to analysis of data related to traffic accidents at one of the roads in Czech Republic. The data sets are available as discrete-valued variables providing results of traffic accident (with death or not) as well as conditions under which the accident has happened.
Filtrace se smíšenými spojitými a diskrétními stavy: speciální případ
Suzdaleva, Evgenia
The paper deals with algorithms of the state estimation with mixed-type (continuous and discrete) states with application in urban traffic control area.
Filtrace s diskréními stavy
Suzdaleva, Evgenia
The paper deals with Bayesian filtering, applied to discrete-valued data.
Faktorizovaná filtrace se simultální datovou a časovou aktualizací
Suzdaleva, Evgenia
The paper presents the modified algorithm of factorized Kalman filtering. A modification of the algorithm consists in simultaneous fulfillment of the data and time updating of the posterior factorized state estimate.
Přehled modelů s daty smíšeného typu
Suzdaleva, Evgenia
The paper presents the overview of models and estimators, dealing with mixed-type data.
Kalmanova filtrace po složkách a přepracování apriorní znalosti
Suzdaleva, Evgenia
The paper deals with Kalman filtering, organized in entry-wise manner. The example of calculation of the state estimate for individual state entry and numerical experiments are presented. The separate part of the work is devoted to processing of the prior knowledge in the factorized form.

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