Mar 22, 2019   5:11 p.m. Beňadik
Academic information system

Summary of topics offered - Faculty of Electrical Engineering and Information Technology


Basic information

Type of work: Bachelor thesis
Topic: Good-Turing Smoothing
Title of topic in English: Good-Turing Smoothing
State of topic: approved (prof. Dr. Ing. Miloš Oravec - Study programme supervisor)
Thesis supervisor: Ing. Eugen Antal, PhD.
Faculty: Faculty of Electrical Engineering and Information Technology
Supervising department: Institute of Computer Science and Mathematics - FEEIT
Max. no. of students: --
Academic year:2018/2019
Proposed by: Ing. Eugen Antal, PhD.
Summary: Jedným spôsobom odhadu pravdepodobnosti textovýh elementov v lingvistike je napr. metóda A. Turinga a I.J. Gooda, ktorá zahŕňa aj pravdepodobnosť textovýh elementov, ktoré sa v testovacej vzorke nenacházajú. Cieľom práce je naštudovať možnosť vytvorenia štatistického modelu jazyka na základe uvedenej metódy. Tieto štatistiky následne poslúžia pri kryptoanalýze klasických šifier. Literatúra: https://pdfs.semanticscholar.org/3c0f/046634f8102c2acb495aaf7f14924c2d4ee7.pdf



Limitations of the topic

To sign up for a topic it is necessary to fulfil one of the following restrictions

Limit to study programme
The table shows limitations of study programme, field, track the student has to be enrolled in to be able to register for a given topic.

ProgrammeTrackTrack
B-API Applied Informatics-- not entered -- -- not entered --

Limit to courses
The table shows limitations of a course the student has to complete to be able to register for a given topic.

DepartmentCourse title
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