Abstract: This paper focuses on automating the analysis of financial news for stocks and cryptocurrencies, thereby providing traders and analysts with actionable insights. In today's fast-paced ...
A marriage of formal methods and LLMs seeks to harness the strengths of both.
Out-of-bag (OOB) importance analysis was applied to extract feature variables. The nonlinear model random forest (RF) outperforms the linear model for soil water content retrieval. The coupled OOB and ...
alpha-lib is a Python library that implements various algorithms and functions commonly used in quantitative finance and algorithmic trading. For financial data analysis, there are many algorithms ...
Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...
The appointment of Sarah Mullally as the first female Archbishop of Canterbury is an “immense step”, said Alastair Bruce on Sky News. But as the Church of England takes a new direction, critics have ...
AGPL-3.0 — because research infrastructure deserves the same freedoms as the software it runs on. .env.d/ ├── entry.src # Single entry point ├── 00_scitex.env # Base settings (SCITEX_DIR) ├── ...
Abstract: Accurately predicting nitrogen oxides (NOx) concentration in cement kilns is crucial for controlling pollutant emissions. However, due to the variable and unbalanced distribution of working ...
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