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Under-Resourced Machine Learning for Stock Market Prediction

https://doi.org/10.1145/3548608.3559328
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.sbspro.2013.12.027openalex-snapshot
A Study on Multiple Linear Regression Analysis
inferredcites →https://doi.org/10.1016/s0305-0548(02)00037-0openalex-snapshot
Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/s41524-018-0081-zopenalex-snapshot
A strategy to apply machine learning to small datasets in materials science

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4460041openalex-extracted
Segmented Learning Architecture Model for Analytical Tax Revenue Forecasting Based on Electronic Invoice Information
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