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Rank-based self-training for graph convolutional networks
(2021-03-01)
Graph Convolutional Networks (GCNs) have been established as a fundamental approach for representation learning on graphs, based on convolution operations on non-Euclidean domain, defined by graph-structured data. GCNs and ...
A denoising convolutional neural network for self-supervised rank effectiveness estimation on image retrieval
(2021-08-24)
Image and multimedia retrieval has established as a prominent task in an increasingly digital and visual world. Mainly supported by decades of development on hand-crafted features and the success of deep learning techniques, ...
Neural Scoring of Logical Inferences from Data using Feedback
Insights derived from wearable sensors in smartwatches or sleep trackers can help users in approaching their healthy lifestyle goals. These insights should indicate significant inferences from user behaviour and their ...
Preliminary diagnosis of ophtalmological diseases through machine learning techniques
(2011)
Although one can find several patents addressing surgery procedures to tackle ophthalmological diseases, it is very unusual to find other ones that apply machine learning techniques to automatically identify them. In this ...
Uma análise da influência do parâmetro de controle do limiar no método de aprendizado semissupervisionado FlexCon-C
(Universidade Federal do Rio Grande do NorteBrasilUFRNBacharelado de Sistemas de Informação, 2018-12-12)
Learning algorithms are effective and efficient tools for processing large volumes of data. However, real-world application databases are not fully labeled, this difficult the development of a model through traditional ...
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Using the Web as corpus for self-training text categorization
(Springer Science+Business Media, 2009)
Teachers' Concerns About Implementing Instructional Supervision
(2015-01-22)
This phenomenological case study explored three teachers’ concerns about the implementation of instructional supervision/clinical supervision at a secondary school in the Victoria Education District in Trinidad. Data were ...
Aprendizado semissupervisionado através de técnicas de acoplamento
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2011-02-17)
Machine Learning (ML) can be seen as research area within the Artificial Intelligence (AI) that aims to develop computer programs that can evolve with new experiences. The main ML purpose is the search for methods and ...