Thesis Details
Porovnání klasifikačních metod
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.
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
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
@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/" }