Buscar
Mostrando ítems 51-60 de 5831
Open Assessment of Learning: A Meta-Synthesis
(InternationalReview of Research in Open andDistributed Learning, 2016-12)
Open Assessment of Learning (OAoL) is an emerging educational concept derived from the incorporation of Information and Communication Technologies (ICT) to education and is related with the Open Education Movement. In order ...
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters
(ElsevierAmsterdam, 2014-11-02)
Support Vector Machines (SVMs) have achieved a considerable attention due to their theoretical foundations and good empirical performance when compared to other learning algorithms in different applications. However, the ...
Convolutional neural networks ensembles through single-iteration optimization
(2022-01-01)
Convolutional Neural Networks have been widely employed in a diverse range of computer vision-based applications, including image classification, object recognition, and object segmentation. Nevertheless, one weakness of ...
Convolutional neural networks applied for Parkinson’s disease identification
(2016-01-01)
Parkinson’s Disease (PD) is a chronic and progressive illness that affects hundreds of thousands of people worldwide. Although it is quite easy to identify someone affected by PD when the illness shows itself (e.g. tremors, ...
Model selection for discriminative restricted boltzmann machines through meta-heuristic techniques
(2015)
Discriminative learning of Restricted Boltzmann Machines has been recently introduced as an alternative to provide a self-contained approach for both unsupervised feature learning and classification purposes. However, one ...
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines
(Elsevier B.V., 2020-12-01)
Deep learning techniques, such as Deep Boltzmann Machines (DBMs), have received considerable attention over the past years due to the outstanding results concerning a variable range of domains. One of the main shortcomings ...
What Really Works to Improve Learning in Developing Countries? : An Analysis of Divergent Findings in Systematic Reviews
(World Bank, 2015-02)
In the past two years alone, at least six systematic reviews or meta-analyses have examined the interventions that
improve learning outcomes in low- and middle-income countries. However, these reviews have sometimes reached ...
What Really Works to Improve Learning in Developing Countries? : An Analysis of Divergent Findings in Systematic Reviews
(World Bank, 2015-02)
In the past two years alone, at least six systematic reviews or meta-analyses have examined the interventions that
improve learning outcomes in low- and middle-income countries. However, these reviews have sometimes reached ...
Abordagem de construção de arquitetura homogênea para comitês via meta-aprendizagem
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Sistemas e ComputaçãoCiência da Computação, 2012-05-21)
In the world we are constantly performing everyday actions. Two of these actions are
frequent and of great importance: classify (sort by classes) and take decision. When we
encounter problems with a relatively high degree ...