Robotics & Machine Learning Daily News2024,Issue(Jan.22) :26-27.

Recent Findings in Machine Learning Described by Researchers from Aeronautics Institute of Technology (Machine Learning-based Time Series Prediction At Brazilian Stocks Exchange)

Robotics & Machine Learning Daily News2024,Issue(Jan.22) :26-27.

Recent Findings in Machine Learning Described by Researchers from Aeronautics Institute of Technology (Machine Learning-based Time Series Prediction At Brazilian Stocks Exchange)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating in Sao Jose dos Campos, Brazil, by NewsRx journalists, research stated, “This study proposesa novel method for forecasting the returns of assets comprising the Ibovespa from January 1, 2016, toDecember 30, 2020, by integrating machine learning algorithms-Gradient Boosting Machine, k-NearestNeighbor, and Bayesian Regularized Neural Networks. Employing an ensemble strategy with diverse datamodeling approaches, the method includes a pre-processing stage for variable selection, ranking theirimportance using statistical techniques such as OneR, Information Gain, and Chi-Square.”

Key words

Sao Jose dos Campos/Brazil/South America/Cyborgs/Emerging Technologies/Machine Learning/Aeronautics Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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