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Ensemble methods are widely applied to supervised learning tasks.
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Together with the geometric features, they are applied to a supervised learning procedure for vehicle or non-vehicle recognition.
To the best of our knowledge, graph-based approach has not been considered to tackle streaming classification problems where data are partially labeled; although it is successfully applied to semi-supervised learning, especially to the transduction problem [2, 6, 10, 25].
Semi-supervised approaches have been applied to conquer limitations of supervised and unsupervised methods when labeled data is scarce and obtaining large amounts of labeled data is expensive and time consuming [ 16, 17].
Typically, SVM-based algorithm is applied to road detection through semi-supervised or supervised online learning [20, 21].
The random walk algorithm adapted to genomic modules (Walktrap-GM), is applied to guide a semi-supervised search for cancer-related modules in an expression-weighted interactome.
With all the given benefits of unsupervised learning, we focus our efforts on supervised learning applied to opinion fraud detection.
The USNVC classes were applied to FIA plots using a supervised key developed by FIA and NatureServe staff (Menard et al. 2017).
It is also employed in the Qualifying Exam Part I of Medical Council of Canada, which is applied to admit medical students into supervised clinical practice.
While comparing to the supervised methods applied to time series dataset (Tables 2 and 4) one observes an error increase of 21% for the 1991 2011 period and an error reduction of 22% for the 2002 2011 and 2005 2011 periods.
Most gene-signatures have been selected using supervised methods applied to training sets of about 50 100 patients, and then confirmed in larger related sets ranging from 100 300 patients.
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