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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
The Most Frequent Word n-Grams
 Holec, Matúš ; Szőke, Igor (referee) ; Smrž, Pavel (advisor)
This thesis deals with design and implementation of effective system for word n-grams extraction from texts. System is based on batch processing therefore it is able to process large text corpuses. The first part contains principles of existing methods for an n-gram extraction. The next part includes description of the implemented system as well as the approach of acceleration system by paralelizing the batch processing. The last part contains efficiency comparison between available implementations and designed system and time complexity comparison between sequential and paralelized approach.
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The Most Frequent Word n-Grams
 Holec, Matúš ; Szőke, Igor (referee) ; Smrž, Pavel (advisor)
This thesis deals with design and implementation of effective system for word n-grams extraction from texts. System is based on batch processing therefore it is able to process large text corpuses. The first part contains principles of existing methods for an n-gram extraction. The next part includes description of the implemented system as well as the approach of acceleration system by paralelizing the batch processing. The last part contains efficiency comparison between available implementations and designed system and time complexity comparison between sequential and paralelized approach.
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Least squares method using genetic algorithm
 Holec, Matúš ; Tichý, Vladimír (advisor) ; Šalamon, Tomáš (referee)
This thesis describes the design and implementation of genetic algorithm for approximation of non-linear mathematical functions using the least squares method. One objective of this work is to theoretically describe the basics of genetic algorithms. The second objective is to create a program that would be potentially used to approximate empirically measured data by the scientific institutions. Besides the theoretical description of the given subject, the text part of the work mainly deals with the design of the genetic algorithm and the whole application solving the given problem. Specific part of the assignment is that the developed application has to support approximation of points by various mathematical non-linear functions in several different intervals, and then it has to insure, that resulting functions are continuous throughout all the intervals. Described functionality is not offered by any available software.
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See also: similar author names
5 HOLEC, Michal
1 HOLEC, Miloš
2 Holec, Marek
2 Holec, Matej
5 Holec, Michal
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