Robotics & Machine Learning Daily News2024,Issue(Jan.1) :15-16.

Research from Technical University Wien (TU Wien) Provides New Study Findings on Machine Learning (Scaling Exponents of Time Series Data: A Machine Learning Approach)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :15-16.

Research from Technical University Wien (TU Wien) Provides New Study Findings on Machine Learning (Scaling Exponents of Time Series Data: A Machine Learning Approach)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on artificial intelligence. According to news reportingfrom Vienna, Austria, by NewsRx journalists, research stated, “In this study, we present a novel approachto estimating the Hurst exponent of time series data using a variety of machine learning algorithms.The Hurst exponent is a crucial parameter in characterizing long-range dependence in time series, andtraditional methods such as Rescaled Range (R/S) analysis and Detrended Fluctuation Analysis (DFA)have been widely used for its estimation.”

Key words

Technical University Wien (TU Wien)/Vienna/Austria/Europe/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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