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Regular graph construction for semi-supervised learning
(IOP PublishingBristol, 2014)
Semi-supervised learning (SSL) stands out for using a small amount of labeled points for data clustering and classification. In this scenario graph-based methods allow the analysis of local and global characteristics of ...
Feature selectión to detect patterns in supervised and semi supervised scenariós.
(2015)
Uno de los problemas centrales en Minería de Datos y Aprendizaje de máquina es la
identificación de variables que ayudan en la detección de diferentes tipos de patrones en
grandes bases de datos. Dado que no es posible ...
Algoritmos particionais semissupervisionados com ponderação automática de variáveis
(UNIVERSIDADE FEDERAL DE PERNAMBUCOUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2016)
Adversarial variational domain adaptation for semi-supervised image classification.
(Universidad de Concepción.Departamento de Ingeniería Informática y Ciencias de la ComputaciónDepartamento Ingeniería Informática Ciencia de la Computación., 2019)
For success fully training deep neural networks, we usually need a large amount of annotated data in order to avoid the overfitting and being able to generalize to new data.
In most of real cases, getting labels is difficult ...
Open issues for partitioning clustering methods: an overview
(John Wiley & SonsOxford, 2014-05)
Over the last decades, a great variety of data mining techniques have been developed to reach goals concerning Knowledge Discovery in Databases. Among them, cluster detection techniques are of major importance. Although ...
Agrupamento fuzzy c-medoids semi-supervisionado de dados relacionais representados por múltiplas matrizes de dissimilaridade
(Universidade Federal de PernambucoUFPEBrasilPrograma de Pos Graduacao em Ciencia da Computacao, 2018)
An Ar2p Deep Learning Architecture for the Discovery and the Selection of Features
(Neural Processing LettersPaíses Bajos, 2019-07-13)
In the context of pattern recognition processes with machine learning algorithms, either through supervised, semi-supervised or unsupervised methods, one of the most important elements to consider are the features that are ...
Métodos de agrupamento baseados em informações de ranqueamento
(Universidade Estadual Paulista (Unesp), 2021-08-26)
As contantes evoluções tecnológicas realizadas nas últimas décadas, nos mais diversos domínios do conhecimento, possibilitaram a produção de volume massivo de dados e grande parcela deste volume é armazenada de maneira ...