Quantifying the generalization capacity of Markov models for melody prediction

DOI10.1016/j.physa.2020.124351OpenAlexW3005602404MaRDI QIDQ2164934

Thomas Jüngling, Michael Small, Débora Cristina Corrêa

Publication date: 18 August 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2020.124351

zbMATH Keywords

Markov modelstime series predictionsymbolic time series

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

• Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms
• Algorithmic Composition
• Music Analysis Using Hidden Markov Mixture Models
• Time lagged ordinal partition networks for capturing dynamics of continuous dynamical systems
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