Abstract
We introduce a novel framework for visualizing information conservation, decomposition and transfer in time-series data, termed the Information Matrix (IXY ). Our approach, grounded in information theory, focuses on mutual information (MI), directed information (DI), and transfer entropy (TE) to analyze sequential data. This framework not only offers theoretical insights into information dynamics in sequential systems but also provides a simple visualization of information flow in such systems. We demonstrate the utility of the Information Matrix to the analysis of sequential real world data.
| Original language | English |
|---|---|
| State | Published - 1 Jan 2024 |
| Event | 2nd Tiny Papers at 12th International Conference on Learning Representations, Tiny Papers@ICLR 2024 - Vienna, Austria Duration: 11 May 2024 → 11 May 2024 |
Conference
| Conference | 2nd Tiny Papers at 12th International Conference on Learning Representations, Tiny Papers@ICLR 2024 |
|---|---|
| Country/Territory | Austria |
| City | Vienna |
| Period | 11/05/24 → 11/05/24 |
ASJC Scopus subject areas
- Education
- Linguistics and Language
- Language and Linguistics
- Computer Science Applications
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