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Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyperparameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of implementation of the unary classifier.
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Support vector machines: theory, applications and software implementations
Podtesov, Daniil ; Matoušek, Radomil (referee) ; Kůdela, Jakub (advisor)
This bachelor thesis deals with the problem of machine learning algorithm called support vector machine learning method. The thesis focuses on the theoretical basis required to understand the mechanism of operation of this method, the application of this method in real life and the implementation of this method in various software. Concepts such as optimal separation superplane, linear decision boundary and support vectors are explained. Furthermore, different variants of this method using different kernel functions are described. In the third part of the paper, the method was not only used to show how it works, but also several techniques were used to improve the results of the application of the method.
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Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyperparameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of implementation of the unary classifier.
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