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Improving CNN-base Stock Trading By Considering Data Heterogeneity and Burst
In recent years, there have been quite a few attempts to apply intelligent techniques to financial trading, i. e., constructing automatic and intelligent trading framework based on historical stock price.
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study
The FAIR Guiding Principles aim to improve the findability, accessibility, interoperability, and reusability of digital content by making them both human and machine actionable.
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