|
|
Document Classification
Marek, Tomáš ; Škoda, Petr (referee) ; Otrusina, Lubomír (advisor)
This thesis deals with a document classification, especially with a text classification method. Main goal of this thesis is to analyze two arbitrary document classification algorithms to describe them and to create an implementation of those algorithms. Chosen algorithms are Bayes classifier and classifier based on support vector machines (SVM) which were analyzed and implemented in the practical part of this thesis. One of the main goals of this thesis is to create and choose optimal text features, which are describing the input text best and thus lead to the best classification results. At the end of this thesis there is a bunch of tests showing comparison of efficiency of the chosen classifiers under various conditions.
|
|
|
Classification based on longitudinal observations
Bandas, Lukáš ; Komárek, Arnošt (advisor) ; Kulich, Michal (referee)
The concern of this thesis is to discuss classification of different objects based on longitudinal observations. In the first instance the reader is introduced to a linear mixed-effects model which is useful for longitudinal data modeling. Description of discriminant analysis methods follows. These methods ares usually used for classification based on longitudinal observations. Individual methods are introduced in the theoretic aspect. Random effects approach is generalized to continuous time. Subsequently the methods and features of the linear mixed-effects model are applied to real data. Finally features of the methods are studied with help of simulations.
|
|
| |
|
|
Classification based on longitudinal observations
Bandas, Lukáš ; Komárek, Arnošt (advisor) ; Kulich, Michal (referee)
The concern of this thesis is to discuss classification of different objects based on longitudinal observations. In the first instance the reader is introduced to a linear mixed-effects model which is useful for longitudinal data modeling. Description of discriminant analysis methods follows. These methods ares usually used for classification based on longitudinal observations. Individual methods are introduced in the theoretic aspect. Random effects approach is generalized to continuous time. Subsequently the methods and features of the linear mixed-effects model are applied to real data. Finally features of the methods are studied with help of simulations.
|
|
|
Document Classification
Marek, Tomáš ; Škoda, Petr (referee) ; Otrusina, Lubomír (advisor)
This thesis deals with a document classification, especially with a text classification method. Main goal of this thesis is to analyze two arbitrary document classification algorithms to describe them and to create an implementation of those algorithms. Chosen algorithms are Bayes classifier and classifier based on support vector machines (SVM) which were analyzed and implemented in the practical part of this thesis. One of the main goals of this thesis is to create and choose optimal text features, which are describing the input text best and thus lead to the best classification results. At the end of this thesis there is a bunch of tests showing comparison of efficiency of the chosen classifiers under various conditions.
|
|
|
A comparison of frequentist and Bayesian approaches to probability
Dupal, Pavel ; Karel, Tomáš (advisor) ; Bílková, Diana (referee)
The aim of this thesis is to provide a basic comparison between the classical (frequentist) and Bayesian schools of statistics on both the historical and the scientific level. The history of statistics is examined in short starting from the 17th century through the recent years. Key figures and discoveries are mentioned, as well as some of the occasions when the frequentist and Bayesian approaches clashed or influenced one another. Different interpretations of probability are listed and the Bayesian approach is introduced via Bayes' Theorem. The frequentist and Bayesian methods for point estimation, interval estimation and hypothesis testing are then described and compared. Every method is then further presented in an example and the results are evaluated using selected criteria.
|
|
|
Projektivní geometrie - náhled z vyšší dimenze
Gottvald, Aleš
Upon recognizing principal and ubiquitous role of projective geometry in theory and applications, we select some of its basic concepts and ideas (homogeneous coordinates, Möbius transformation, cross-ratio, Cayley's hyperbolic distance, ...), and show their first metamorphoses.
|
|
| |
guest ::
