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Frequency division duplex systems with linear precoding acquire the channel state information at the receiver side by using supervised algorithms.
Wang and Sambasivan in [2] apply market sentiment on the StockTwits dataset by using supervised sentiment analysis classified messages in StockTwits as "Bullish" or "Bearish".
Efforts have been made to alleviate this acute problem, in particular, by using supervised learning techniques that allow to group pairs of nodes in categories for link prediction and, therefore, reduce the imbalance effect [11].
If the task is a classification task usually another supervised layer is put on top of the last layer and its parameters are learnt (either randomly or by using supervised data and keeping the rest of the network fixed).
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.
In analytical chemistry, SOMs can be adapted to specific situations, for example by using supervised SOMs or in Quality Control, and so have a much wider applicability than just visualisation.
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This article shows that cyber-attacks on Real Time Location Systems can be detected by a system built using supervised learning.
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.
Given that methyl methyl NOE contacts play a critical role in defining the hydrophobic core of the protein, we found that ∼25% of the total contacts identified by autoNOE-Rosetta are contributed by methyl NOEs for structure calculations using supervised or automated 4D-CHAINS assignments (Supplementary Table 3).
These mappings will be used as base information by a system that extracts metaphors using supervised machine learning.
Such a task was addressed using supervised classification algorithms implemented by the software tool Weka.
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