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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Jumping Language Models
 Ošmera, Lubomír ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
The main goal of this master thesis is introduction and investigation of extended version of jumping automata and grammars. New versions are primarily focused on bioinformatic applications - DNA computing. This thesis examine their power and other properties of new models and makes comparison with existing computer science models. Then thesis demontrates practical applications, specifically amino acid and protein detections inside DNA sequence and makes comparision with existing tools in DNA computing for example Mark´s probabilistic models.
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Jumping Language Models
 Ošmera, Lubomír ; Kocman, Radim (referee) ; Meduna, Alexandr (advisor)
The main goal of this master thesis is introduction and investigation of extended version of jumping automata and grammars. New versions are primarily focused on bioinformatic applications - DNA computing. This thesis examine their power and other properties of new models and makes comparison with existing computer science models. Then thesis demontrates practical applications, specifically amino acid and protein detections inside DNA sequence and makes comparision with existing tools in DNA computing for example Mark´s probabilistic models.
Detailed record
Markovian processes and solving them in MS Excel
 Löw, Alexandr ; Kořenář, Václav (advisor) ; Šindelářová, Irena (referee)
Markovian processes are stochastic processes modeling the behavior of units that is not deterministic. We know only the probability with which these units are transferred between states. Analysis of these processes is largely based on matrix multiplication, which can be, especially for larger number of states, difficult and time consuming while manually calculated. Therefore, these calculations are performed using computers. The aim of this work is to develop an application which will be realizing these calculations in MS Excel and presenting results in clear form. This application analyzes both the absorbing as well as regular markovian chains and is primarily intended for use in the teaching of stochastic models.
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