Thesis Details

Porovnání klasifikačních metod

Master's Thesis Student: Dočekal Martin Academic Year: 2018/2019 Supervisor: Burgetová Ivana, Ing., Ph.D.
English title
Comparison of Classification Methods
Language
Czech
Abstract

This thesis deals with a comparison of classification methods. At first, these classification methods based on machine learning are described, then a classifier comparison system is designed and implemented. This thesis also describes some classification tasks and datasets on which the designed system will be tested. The evaluation of classification tasks is done according to standard metrics.

In this thesis is presented design and implementation of a classifier that is based on the principle of evolutionary algorithms.

Keywords

machine-learning, feature extraction, Bag-of-words, TF-IDF, feature hashing, Histogram of oriented gradients, HOG, SVM, Support Vector Machine, Decision Tree, Artificial neural network, perceptron, ANN, k-nearest neighbors, Naive Bayes classifier, CEEF, Classification by evolutionary estimated functions, evolutionary algorithms, classification, evaluation of classifiers, feature selection

Department
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade A
Date
20 June 2019
Reviewer
Committee
Zbořil František, doc. Ing., Ph.D. (DITS FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, prof. RNDr., CSc. (DITS FIT BUT), člen
Šeda Miloš, prof. RNDr. Ing., Ph.D. (FME BUT), člen
Citation
DOČEKAL, Martin. Porovnání klasifikačních metod. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-20. Supervised by Burgetová Ivana. Available from: https://www.fit.vut.cz/study/thesis/22036/
BibTeX
@mastersthesis{FITMT22036,
    author = "Martin Do\v{c}ekal",
    type = "Master's thesis",
    title = "Porovn\'{a}n\'{i} klasifika\v{c}n\'{i}ch metod",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/22036/"
}
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