Unsupervised Features Learning for Sampled Vector Fields

DOI10.1137/19M1301758zbMath1465.37093arXiv1911.10023OpenAlexW3112789528MaRDI QIDQ5859783

Mateusz Juda

Publication date: 20 April 2021

Published in: SIAM Journal on Applied Dynamical Systems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.10023

zbMATH Keywords

time seriesmachine learningdiscrete vector fieldsampled dynamics

Mathematics Subject Classification ID

Dynamics induced by flows and semiflows (37C10) Time series analysis of dynamical systems (37M10) Natural language processing (68T50) Numerical problems in dynamical systems (65P99)

Uses Software

• word2vec
• DeepWalk

Cites Work

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• Algebraic topology of finite topological spaces and applications
• Innovations in machine learning. Theory and applications
• Prey-predator dynamics with prey refuge providing additional food to predator
• Conley Index Approach to Sampled Dynamics
• A Database Schema for the Analysis of Global Dynamics of Multiparameter Systems
• Persistent Homology of Morse Decompositions in Combinatorial Dynamics
• Combinatorial Representation of Parameter Space for Switching Networks

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