Symbolic Dynamical Filtering via Variable Length Markov Model and Machine Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3361839
Abstract: Time series are the natural way for accessing information about dynamical systems or processes in a variety of scientific, engineering and financial applications. Due to their complexity, the use of data-driven methods is imperative. An… read more here.
Keywords: length markov; variable length; machine learning;