A Hidden Markov Ensemble Algorithm Design for Time Series Analysis

A Hidden Markov Ensemble Algorithm Design for Time Series Analysis

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With the exponential growth of data vector data, solving classification or regression tasks by mining time series data has become a research hotspot. Commonly used methods include machine learning, artificial neural networks, and so on. However, these methods only extract the continuous or discrete...

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Bibliographic Details
Main Authors: Lin, T. (Author), Wang, M. (Author), Yang, M. (Author), Yang, X. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Auto encoders
Complex networks
Computational complexity
Conditional variance
conditional variance autoencoder
Conditional variance autoencoder
Ensemble algorithms
ensemble learning
Ensemble learning
Harmonic analysis
Hidden markov
hidden Markov model
Hidden Markov models
Hidden-Markov models
Learn+
Learning systems
Neural networks
time series analysis
Time series analysis
Time-series analysis
Wasserstein distance
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