Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Michel, Olivier . J. J."'
In passive monitoring using sensor networks, low energy supplies drastically constrain sensors in terms of calculation and communication abilities. Designing processing algorithms at the sensor level that take into account these constraints is an imp
Externí odkaz:
http://arxiv.org/abs/1511.06639
This report reviews the conceptual and theoretical links between Granger causality and directed information theory. We begin with a short historical tour of Granger causality, concentrating on its closeness to information theory. The definitions of G
Externí odkaz:
http://arxiv.org/abs/1211.3169
The paper investigates the link between Granger causality graphs recently formalized by Eichler and directed information theory developed by Massey and Kramer. We particularly insist on the implication of two notions of causality that may occur in ph
Externí odkaz:
http://arxiv.org/abs/1203.5572
This paper addresses the problem of inferring circulation of information between multiple stochastic processes. We discuss two possible frameworks in which the problem can be studied: directed information theory and Granger causality. The main goal o
Externí odkaz:
http://arxiv.org/abs/0911.2873
This paper proposes an original approach to cluster multi-component data sets, including an estimation of the number of clusters. From the construction of a minimal spanning tree with Prim's algorithm, and the assumption that the vertices are approxi
Externí odkaz:
http://arxiv.org/abs/0909.4395
Autor:
Amblard, Pierre-Olivier1,2 bidou.amblard@gipsa-lab.inpg.fr, Michel, Olivier J. J.1 olivier.michel@gipsa-lab.grenoble-inp.fr
Publikováno v:
Entropy. Jan2013, Vol. 15 Issue 1, p113-143. 31p. 1 Diagram.
Akademický článek
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Akademický článek
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Publikováno v:
2014 International Symposium on Information Theory & its Applications; 2014, p216-220, 5p