National Repository of Grey Literature 7 records found  Search took 0.00 seconds. 
Meta-learning
Hovorka, Martin ; Hrabec, Jakub (referee) ; Honzík, Petr (advisor)
Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Physically Based Rendering
Herrgott, Jiří ; Pečiva, Jan (referee) ; Starka, Tomáš (advisor)
This bachelor thesis is focused on rendering of 3D models in real time, where emphasis is placed on physical properties of simulated light rays. The work is about techniques that deal with this issue and then their use for drawing a physically approximated model.
Pattern Finding in Dymanical Data
Budík, Jan ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
First chapter is about basic information pattern learning. Second chapter is about solutions of pattern recognition and about using artificial inteligence and there are basic informations about statistics and theory of chaos. Third chapter is focused on time series, types of time series and preprocessing. There are informations about time series in financial sector. Fourth charter discuss about pattern recognition problems and about prediction. Last charter is about software, which I did and there are informations about part sof program.
Physically Based Rendering
Herrgott, Jiří ; Pečiva, Jan (referee) ; Starka, Tomáš (advisor)
This bachelor thesis is focused on rendering of 3D models in real time, where emphasis is placed on physical properties of simulated light rays. The work is about techniques that deal with this issue and then their use for drawing a physically approximated model.
Pattern Finding in Dymanical Data
Budík, Jan ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
First chapter is about basic information pattern learning. Second chapter is about solutions of pattern recognition and about using artificial inteligence and there are basic informations about statistics and theory of chaos. Third chapter is focused on time series, types of time series and preprocessing. There are informations about time series in financial sector. Fourth charter discuss about pattern recognition problems and about prediction. Last charter is about software, which I did and there are informations about part sof program.
Meta-learning
Hovorka, Martin ; Hrabec, Jakub (referee) ; Honzík, Petr (advisor)
Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other machine learning methods.
Převod vybraných algoritmů data-mining z jazyka Java do binární (.exe) formy
Šrom, Jakub
There are many successful systems for data-mining (eg. WEKA, RapidMiner, etc.), which currently hold many algorithms implemented in Java, which allows their use under different operating systems. The disadvantage of the interpreted source code is a slowdown in the calculation and limited memory usage. The thesis is focused on the transfer of several selected implementations of algorithms in Java binaries (.exe) through the conversion of source code in C ++ under MS Windows 7 64-bit. The aim is to speed up calculations and improve management of memory usage. Binary form must give identical results as the original form. In addition to the actual transfer, the thesis also includes comparing time and memory requirements of the original (using the Java Runtime Environment, JRE) interpreted implementation in Java (JRE 64-bit) and x64 resulting binary forms, for selected test data.

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