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learning algorithm » learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data learning » meta learning (Expand Search), deep learning (Expand Search), a learning (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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Genetic algorithm iteration data chart.
Published 2024“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”
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RMSE value of missing data filling algorithms on different datasets (mean ± std).
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RMSE value of missing data filling algorithms on different datasets (mean ± std).
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Example scenario to illustrate how rating is predicted by proposed algorithm.
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Performance of various biclustering algorithms on FilmTrust dataset with SARSA.
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