What is it about?
In this paper, a GRU-XGBoost model with attention is proposed to deal with heterogeneous data with various information in stock price prediction. The GRU model is used to solve the gradient problem and the attention mechanism and XGBoost are used to save the context and process local optimal solutions questions.
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This page is a summary of: An Attention GRU-XGBoost Model for Stock Market Prediction Strategies, November 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3573834.3573837.
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