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Aplicação de técnicas de Machine Learning na combinação de pesquisas eleitorais
(Universidade Federal do Rio Grande do NorteBrasilUFRNEstatística, 2018-12-05)
The Brazilian electoral polls are made, mostly, from a non-probabilistic sample plan by
quotas. Thus, there is an accumulation of uncertainties regarding the estimates obtained,
since there is no way to guarantee that ...
Nota del Editor
(Universidad de Palermo, 2021)
Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets
(MDPI, 2021)
In many machine learning applications, measurements are sometimes incomplete or noisy resulting in missing features. In other cases, and for different reasons, the datasets are originally small, and therefore, more data ...
Harnessing machine learning for fiber-induced nonlinearity mitigation in long-haul coherent optical OFDM
(2018-12-20)
Coherent optical orthogonal frequency division multiplexing (CO-OFDM) has attracted a lot of interest in optical fiber communications due to its simplified digital signal processing (DSP) units, high spectral-efficiency, ...
Precipitates segmentation from scanning electron microscope images through machine learning techniques
(2011-06-02)
The presence of precipitates in metallic materials affects its durability, resistance and mechanical properties. Hence, its automatic identification by image processing and machine learning techniques may lead to reliable ...