LGITSTOct 30, 2018

Divergence Network: Graphical calculation method of divergence functions

arXiv:1810.12794v2
Originality Synthesis-oriented
AI Analysis

This provides a new graphical method for researchers in information geometry or related fields to visualize and compute divergence functions, though it appears incremental as it builds on existing concepts.

The paper tackles the problem of calculating divergence functions by introducing directed networks called 'divergence networks', enabling graphical calculation to intuitively understand geometric meanings and relations among divergence functions.

In this paper, we introduce directed networks called `divergence network' in order to perform graphical calculation of divergence functions. By using the divergence networks, we can easily understand the geometric meaning of calculation results and grasp relations among divergence functions intuitively.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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