Mallapagada et al. proved the performance improvement on the supervised algorithms by using SemiBoost on different datasets, and SemiBoost outperforms the benchmark semi-supervised algorithms [ 38].
Moreover, to enhance the discriminating capability, the affinity matrix in graph embedding is designed in supervised manner by using class label information.
Because of the large amount of imbalanced data, the building and testing of the supervised model were only possible by using big data supervised classifiers managing imbalance.
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).
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].
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.
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.
By using supervised learning, this model learns to control an anthropomorphic robot arm actuated by two antagonists McKibben artificial muscles.
Hierarchic clustering of samples and gene lists with the genes selected by supervised analysis was performed by using Pearson correlation.
