Learning Complex Spatio-Temporal Dependency: Model Design, Information-Theoretic Analysis, and Systematic Validation

  • Qi TAN

Student thesis: Doctoral Thesis

Abstract

Please refer to the "Abstract & TOC" file on the right side
Date of Award24 May 2021
Original languageEnglish
SupervisorJiming LIU (Supervisor)

User-Defined Keywords

  • Multi-Scale Spatio-Temporal Dependency Learning
  • Predictive Spatio-Temporal Analytics (PSTA)
  • Interactively- and Integratively-Connected Deep Recurrent Neural Network (I2DRNN)
  • Information-Theoretic Analysis
  • Incomplete Data Imputation
  • Hidden Interaction Characterization

Cite this

Documents

  • Full Text

    File: application/pdf, 4.42 MB

    Type: Thesis

  • Abstract & TOC

    File: application/pdf, 218 KB

    Type: Supplementary materials

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