Results 241 to 250 of about 216,912 (262)

Belief f-divergence for EEG complexity evaluation

Information Sciences, 2023
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Junjie Huang   +4 more
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Measured f-Divergences

2021
Let f be a convex function on (0, ∞), not necessarily operator convex unless we specify that. We use the convention in ( 2.2). Let M be a general von Neumann algebra. A measurement \(\mathcal {M}\) in M is given by \(\mathcal {M}=(A_j)_{1\le j\le n}\) for some \(n\in \mathbb {N}\), where Aj ∈ M+ for 1 ≤ j ≤ n and \(\sum _{j=1}^nA_j=1\). The measurement
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On f-divergence for $$\sigma $$-$$\oplus $$-measures

Soft Computing, 2021
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Agahi, Hamzeh, Yadollahzadeh, Milad
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Standard f-Divergences

2021
Let M be a general von Neumann algebra, and \(M_*^+\) be the positive cone of the predual M∗ consisting of normal positive linear functionals on M. Basics of von Neumann algebras are given in Sect. A.1.
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Geometry of f-divergence

Annals of the Institute of Statistical Mathematics, 1991
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Maximal f-Divergences

2021
Let M be a von Neumann algebra with its standard form \((M,\mathcal {H},J,\mathcal {P})\) as before. Throughout this chapter, we assume that f is an operator convex function on (0, ∞).
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Comparison of Contraction Coefficients for f-Divergences

Problems of Information Transmission, 2020
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Makur, A., Zheng, L.
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