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Now showing items 11-20 of 24
Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, 2022-04-18)
Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ...
Avaliação de métodos de construção de redes e detecção de comunidades no agrupamento de textos
(Universidade Federal de São Carlos, 2022-09-20)
Due to the large amount of data produced daily in text format, whether publicly on social networks or privately within companies, there is a need to analyze and extract information from them. The goal is to turn them into ...
Análise e aplicações do algoritmo UMAP para classificação e redução de dimensionalidade de conjuntos de dados com múltiplas variáveis
(Universidade Federal de São Carlos, 2023-03-29)
Through many real-life applications, gathering information through real instruments subject to noise and imperfections tends to generate datasets where the number of observed variables and components easily exceeds a number ...
Classificação não supervisionada para autômato celular elementar do Wolfram
(Universidade Federal de São Carlos, 2022-09-23)
Cellular Automata are gaining ground in many research areas such as biology, physics
and chemistry. But as more parameters are added, it becomes impossible to find
features that may be interesting for a particular ...
Uso de aprendizado de máquina supervisionado para mensurar provisão no mercado de crédito estruturado: uma comparação entre modelos
(Universidade Federal de São Carlos, 2023-03-27)
The credit expansion has been fundamental to global economic growth, allowing people and businesses to access more financial resources for investment and consumption within an increasingly complex and competitive economic ...
Perspectivas do aprendizado de máquina no ensino da Engenharia Química
(Universidade Federal de São Carlos, 2021-06-28)
Machine learning is an area of Artificial Intelligence that can predict results from a large
set of data. Therefore, many areas are already benefiting from this new technology, such as credit
analysis companies that use ...
Mapeamento isométrico de atributos baseado em geometria diferencial para aprendizado de métricas não supervisionado
(Universidade Federal de São Carlos, 2021-11-16)
The act of representing a dataset in a way that’s more compact and significant is denominated dimensionality reduction. The capacity of building adaptive distance functions to each dataset before classification is known ...
A Study of the ISOMAP Algorithm and Its Applications in Machine Learning
(Universidade Federal de São Carlos, 2015-12-11)
This project aims to study the foundations of nonlinear dimensionality reduction through manifold learning with the algorithm known as Isometric Feature Mapping (ISOMAP) and observe the application of the algorithm in ...
Classificação hierárquica multirrótulo de funções de proteínas via predição de interações
(Universidade Federal de São Carlos, 2020-06-26)
Proteins are macro-molecules responsible for virtually every task necessary for the maintenance of cells, having a fundamental role in the behavior and regulation of organisms. Advances in the area of Molecular Biology ...
Incorporando correlações entre exemplos para classificação multirrótulo via espaço de classes
(Universidade Federal de São Carlos, 2021-06-22)
Multi-label classification is a machine learning task where instances can be classified into two or more labels simultaneously. In this task, there exist correlations between the instances belonging to same or similar sets ...