期刊
ENTROPY
卷 19, 期 10, 页码 -出版社
MDPI
DOI: 10.3390/e19100530
关键词
partial information decomposition; bivariate information decomposition; applications of convex optimization
资金
- Estonian Research Council, ETAG (Eesti Teadusagentuur) [620]
- European Regional Development Fund through the Estonian Center of Excellence in Computer Science, EXCS
Bertschinger, Rauh, Olbrich, Jost, and Ay ( Entropy, 2014) have proposed a definition of a decomposition of the mutual information MI ( X : Y, Z) into shared, synergistic, and unique information by way of solving a convex optimization problem. In this paper, we discuss the solution of their Convex Program from theoretical and practical points of view.
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