Analysts are divided on Bitcoin’s near-term outlook, with one forecasting a "violent" short squeeze, while another predicts a ...
Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
This module contains the Python code (version 1.0) of the manuscript: Machine learning for smell: Ordinal odor strength prediction of molecular perfumery components (DOI coming soon). It implements ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Abstract: Recently, high-precision trajectory prediction of ballistic missile in the boost phase has become a research hotspot in missile defense system. This paper proposes a trajectory prediction ...
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Ms. Scanlon is the author of “In This Economy? How Money & Markets Really Work” and Kyla’s Newsletter. Prediction markets have exploded into mainstream American life. Platforms like Polymarket and ...