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Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada
(Universidade Federal de São Carlos, 2022-04-18)
In this work, we propose an in-depth analysis of Graph Convolutional Networks, a semi-supervised machine learning method for node classification in graph-structured data. Based on the seminal work proposed by Thomas Kipf ...
Classifcação binária via Bayes Ingênuo: um estudo comparativo de predições
(Universidade Federal de São Carlos, 2023-03-17)
In this undergraduate thesis, we propose a review of the Naive Bayes classifcation
method applied to binary response variables, with a more in-depth formalization of the
Gaussian Naive Bayes and Flexible Naive Bayes ...