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