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 or values from labeled historical data, enabling precise signals such as ...

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Kalshi is the future. As a federally regulated financial institution, it is available for U.S. residents and visitors in most states, and users can even earn interest on their money by keeping it in ...

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Bitcoin is down about 30% from its all-time high in October, but has the potential to hit $200,000 this year. Solana has a rapidly growing blockchain ecosystem that should help it close the market cap ...

BTC consolidation follows failed $100,000 breakout as profit-taking eases and demand stabilizes. Federal Reserve pause and slowing ETF outflows improve February risk appetite outlook. Technical ...

Crypto is entering a volatile stretch as investors await the Federal Reserve’s rate decision at 2:00 p.m. ET. Fed Chair Jerome Powell takes the mic 30 minutes later. With a 97%+ chance of no rate hike ...

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 ...