Examples of using Classification methods in English and their translations into Portuguese
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The classification methods that are most widely disseminated in the literature were used in this study.
Examples of artists,visual approaches and classification methods are presented throug the text.
Classification methods are traditionally divided into two types: supervised and unsupervised.
Causes“reducible by diagnosis andearly treatment” appeared in all the classification methods.
The classification methods perform prediction using a large set of features as input.
People also translate
On the next step,an identification analysis has been performed using five different classification methods.
We are aware that this multiplicity of classification methods is found for fractures of a variety of segments of the immature skeleton.
Among the other groups,the proportions of“ill-defined” causes were high in nearly all the classification methods.
In order to facilitate management and use, various classification methods of coatings were formed with its own characteristics.
The classification methods used are taken from the European Agreement concerning the International Carriage of Dangerous Goods by Road.
This work presents the theoretical concepts of data stream mining,focusing on classification methods and detailing the hoeffding tree algorithm.
They combine the power of classification methods with the ability of this type of modeling play compactly, multivariate data.
Variation in the magnitude of inequalities as a consequence of adopting different racial classification methods has been described in studies conducted in other countries.
According to different classification methods, can be divided into different categories of sputtering target, the following classification. .
That was when I realized that Earth Engine could be used in an interesting way for the classification methods I was developing for my master's project, with funding from FAPESP.
Among the landform classification methods highlight the supervised classification by use of reference geomorphometric signatures.
The aim of this study was to describe a new classification method and test its validity and reproducibility in comparison with the classification methods most used in the literature.
Two important issues when employing classification methods in computer vision is the accuracy of the classifier and the complexity of computing time.
The definitions of overweight and obesity, as well as their classification in children and adolescents,show a lot of variability in classification methods, making it difficult to compare results with previous studies.
Recently, new AKI classification methods have been proposed that also use the serum creatinine levels and diuresis but in a manner that is dynamic and standardized.
Our program is spread across 30 credits andcontains projects involving big datasets, classification methods, variable selection, and deep learning to name a few.
Classification methods have been proved to be important tools to solve practical issues on several areas, such as biology, zoology and image processing.
To perform these experiments, svms were created by using classification methods based on binary problems that reduce multiple classes problems into a set of binary problems.
Two classification methods for each biometric modality were implemented: a gmm/ubm and an i-vector/gplda classifiers for speaker independent recognition and a gmm/ubm and lbp-based classifiers for facial recognition, resulting in four different multimodal fusion combinations tested.
Field tests results on soil samples studied are presented and the sensitive soil classification methods established in the geotechnical environment are discussed about its efficiency.
These classification methods shall include easy-to-handle and no-time-consuming instruments, and able to supply valid information on the muscular function.
Despite this extraordinary advance in terms of spatial andspectral resolutions, traditional image processing systems offer classification methods that suffer great influence of the multiplicity of features observed in high resolution images.
The use of such classification methods to identify the muscle deficits would allow the selection of individuals with potential for muscular sprain, and furthermore, it would facilitate a preventive therapeutic approach.
The one-month internship at the renowned reference center for the study of manuscripts, the Institut des Textes et Manuscrits Modernes(ITEM-CNRS) in Paris,will confront the classification methods and marginalia analysis acquired in the research under the guidance of Prof.
FlexiCapture offers image, text, or rule-based classification methods that can be combined into a hierarchical system to deliver the greatest straight-through processing performance and reduced manual review.