Zobrazeno 1 - 10
of 307
pro vyhledávání: '"Ince, Robin A. A."'
Transfer Entropy, a generalisation of Granger Causality, promises to measure "information transfer" from a source to a target signal by ignoring self-predictability of a target signal when quantifying the source-target relationship. A simple example
Externí odkaz:
http://arxiv.org/abs/2201.02461
Publikováno v:
In Current Biology 5 August 2024 34(15):3392-3404
Akademický článek
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Autor:
Xu, Tian, Zhan, Jiayu, Garrod, Oliver G. B., Torr, Philip H. S., Zhu, Song-Chun, Ince, Robin A. A., Schyns, Philippe G.
Deep Convolutional Neural Networks (CNNs) have been one of the most influential recent developments in computer vision, particularly for categorization. There is an increasing demand for explainable AI as these systems are deployed in the real world.
Externí odkaz:
http://arxiv.org/abs/1811.07807
Autor:
Kay, James W., Ince, Robin A. A.
Publikováno v:
Entropy 2018, 20(4), 240
The Partial Information Decomposition (PID) [arXiv:1004.2515] provides a theoretical framework to characterize and quantify the structure of multivariate information sharing. A new method (Idep) has recently been proposed for computing a two-predicto
Externí odkaz:
http://arxiv.org/abs/1803.02030
Autor:
Combrisson, Etienne, Allegra, Michele, Basanisi, Ruggero, Ince, Robin A.A., Giordano, Bruno L., Bastin, Julien, Brovelli, Andrea
Publikováno v:
In NeuroImage September 2022 258
Publikováno v:
In Trends in Cognitive Sciences August 2022 26(8):626-630
Autor:
Pérez, Alejandro, Davis, Matthew H., Ince, Robin A.A., Zhang, Hanna, Fu, Zhanao, Lamarca, Melanie, Lambon Ralph, Matthew A., Monahan, Philip J.
Publikováno v:
In Cognition July 2022 224
Autor:
Ince, Robin A. A.
Obtaining meaningful quantitative descriptions of the statistical dependence within multivariate systems is a difficult open problem. Recently, the Partial Information Decomposition (PID) was proposed to decompose mutual information (MI) about a targ
Externí odkaz:
http://arxiv.org/abs/1702.01591
Publikováno v:
In NeuroImage 15 February 2022 247