Symbolic Dynamical Filtering via Variable Length Markov Model and Machine Learning
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 example of this method is the symbolic dynamic filtering (SDF)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10418998/ |