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	Autonomous Single-Channel Deinterleaving Tomešová, Tereza ; Žák, Libor (referee) ; Hübnerová, Zuzana (advisor) This thesis deals with an autonomous single-channel deinterleaving. An autonomous single-channel deinterleaving is a separation of the received sequence of impulses from more than one emitter to sequences of impulses from one emitter without a human assistance. Methods used for deinterleaving could be divided into single-parameter and multiple-parameter methods according to the number of parameters used for separation. This thesis primarily deals with multi-parameter methods. As appropriate methods for an autonomous single-channel deinterleaving DBSCAN and variational bayes methods were chosen. Selected methods were adjusted for deinterleaving and implemented in programming language Python. Their efficiency is examined on simulated and real data. Detailed record
	Autonomous Single-Channel Deinterleaving Tomešová, Tereza ; Žák, Libor (referee) ; Hübnerová, Zuzana (advisor) This thesis deals with an autonomous single-channel deinterleaving. An autonomous single-channel deinterleaving is a separation of the received sequence of impulses from more than one emitter to sequences of impulses from one emitter without a human assistance. Methods used for deinterleaving could be divided into single-parameter and multiple-parameter methods according to the number of parameters used for separation. This thesis primarily deals with multi-parameter methods. As appropriate methods for an autonomous single-channel deinterleaving DBSCAN and variational bayes methods were chosen. Selected methods were adjusted for deinterleaving and implemented in programming language Python. Their efficiency is examined on simulated and real data. Detailed record
	Bayesian Approach in Managerial Decision Making Mošna, Ondřej ; Bína, Vladislav (advisor) ; Váchová, Lucie (referee) This diploma thesis is about Bayesian approach in managerial decision making process. The goal is not only to quantify the principals used by managers during decision making in real situations but also the application of Bayesian methods on given examples. The mentioned principals are the probability updates after gaining a new information. In thesis are also described the computer systems which work with Bayesian calculations and a chosen system is described in detail. In a practical part of this thesis is demonstrated the use of Bayesian principals in real decision making situations -- there is demonstrated the use of Bayesian games, Bayesian networks (both classic and dynamic) and risk decision making process. Detailed record

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