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Frequency division duplex systems with linear precoding acquire the channel state information at the receiver side by using supervised algorithms.
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First, we developed a classifier by using supervised machine learning algorithms to automatically classify Stack Overflow questions, in order to select threads containing how-to-do-it and debug-corrective question types.
The most widely used supervised algorithm is called backpropagation.
Such a task was addressed using supervised classification algorithms implemented by the software tool Weka.
PhD-SNP is SVM based classifier, trained over the million amino acid polymorphism datasets using supervised training algorithm [ 42].
These picksets were saved and later trained by pattern recognition algorithm using supervised method of multi-layer perceptron neural network to map the entire 3D seismic dataset.
Comparisons with other commonly used supervised learning algorithms have shown that the RF algorithm constructs far more precise classification rules [ 23].
Then, images were classified at pixel level using supervised image classification with maximum likelihood classifier algorithm.
The vegetation map was derived using supervised classification with a k-nearest neighbor algorithm of 12 multi-spectral images at 10 m resolution, collected between January and May 2009 by satellite SPOT 5 (SPOT Image, Toulouse, France).
The algorithm, introduced by Freund and Schapire 1997, has been successfully applied to several benchmark machine learning problems using supervised learning.
The improvement obtained using wrapper FSS was not as significant as when using other supervised algorithms.
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