Examples of using Machine learning techniques in English and their translations into Portuguese
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This work aims to automate compiler adjustment process through machine learning techniques.
Recently, with the advancement of artificial intelligence, machine learning techniques have been able to compete with the statistical regression methods,
this study aims to analyze the accuracy of machine learning techniques in regards to a volumetric model
As differentiation, Cozo uses machine learning techniques to optimize the general logistic system,
This thesis purposes the use of bio-inspired machine learning techniques, described in six articles,
other structures in aerial images, supervised machine learning techniques were developed to generalize knowledge
This work describes the nicesim, a freely available and open source simulator that uses machine learning techniques(ml) to assist health professionals in obtaining a better assessment in terms of prognosis of preterm infants in neonatal intensive care units neonatal icus.
Sigelman discussed that LightStep's unconventional architecture(which utilises machine learning techniques within locally installed agents) allows the analysis of 100.0% of transaction data rather
In this context, machine learning techniques are attractive for the development of automated decision support systems,
This dependence comes from the fact that most of the work done with pln nowadays is related to the use of machine learning techniques to create language models.
electronic engineering subjects are supported by the more modern topics of computer control and machine learning techniques, which are at the forefront of modern electrical and electronic systems in the industry today.
combines the formalism of mathematical morphology through eluts(elementary look-up tables) with machine learning techniques.
address a wide spectrum of machine learning techniques in classification, regression
and uses machine learning techniques to adapt and optimize the interpretations it gives.
real-time systems, and machine learning techniques.
the mathematical and algorithmic foundations of automatic natural language processing, and state-of-the-art machine learning techniques.
Additionally, our analysis shows that applying machine learning techniques, such as the gradient-boosted model,
Using the coollected data and machine learning techniques this study aim to classify,
Nanocatalysts engineering, fluid dynamics to address the flow of ionic liquids, and machine learning techniques, which will be applied to explore theoretical
finally we examined recent pattern recognition ap-plications and machine learning techniques to solve the studied problem.