National Repository of Grey Literature 4 records found  Search took 0.01 seconds. 
Prediction of Values on a Time Line
Maršová, Eliška ; Bařina, David (referee) ; Zemčík, Pavel (advisor)
This work deals with the prediction of numerical series whose application is suitable for prediction of stock prices. They explain the procedures for analysis and works with price charts. Also explains the methods of machine learning. Knowledge is used to build a program that finds patterns in numerical series for estimation.
Morphological Analyser Implemented as FSAs
Maršová, Eliška ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with analysis of czech language and tries to enlarge limited derivative extension of morphologic analysator MA. Author describes actual state of this program and defines ways to find word formation connections, which serves to create derivation rules, which helps to automatically enrich knowledge of czech word formation. Illustrates how are similiar data grouped to create derivation patterns, which will make future work with new words easier. In the end, outcomes are sumarized and direction of possible future evolution is described.
Prediction of Values on a Time Line
Maršová, Eliška ; Bařina, David (referee) ; Zemčík, Pavel (advisor)
This work deals with the prediction of numerical series whose application is suitable for prediction of stock prices. They explain the procedures for analysis and works with price charts. Also explains the methods of machine learning. Knowledge is used to build a program that finds patterns in numerical series for estimation.
Morphological Analyser Implemented as FSAs
Maršová, Eliška ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with analysis of czech language and tries to enlarge limited derivative extension of morphologic analysator MA. Author describes actual state of this program and defines ways to find word formation connections, which serves to create derivation rules, which helps to automatically enrich knowledge of czech word formation. Illustrates how are similiar data grouped to create derivation patterns, which will make future work with new words easier. In the end, outcomes are sumarized and direction of possible future evolution is described.

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