Results 81 to 90 of about 7,890 (182)

Generalised Mixability, Constant Regret, and Bayesian Updating [PDF]

open access: yes, 2014
Mixability of a loss is known to characterise when constant regret bounds are achievable in games of prediction with expert advice through the use of Vovk's aggregating algorithm.
Frongillo, Rafael M.   +2 more
core  

Existence Analysis of a Three‐Species Memristor Drift‐Diffusion System Coupled to Electric Networks

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 8, Page 8095-8117, 30 May 2026.
ABSTRACT The existence of global weak solutions to a partial‐differential‐algebraic system is proved. The system consists of the drift‐diffusion equations for the electron, hole, and oxide vacancy densities in a memristor device, the Poisson equation for the electric potential, and the differential‐algebraic equations for an electric network.
Ansgar Jüngel, Tuấn Tùng Nguyến
wiley   +1 more source

Thermodynamics of exponential Kolmogorov–Nagumo averages

open access: yesNew Journal of Physics, 2023
This paper investigates generalized thermodynamic relationships in physical systems where relevant macroscopic variables are determined by the exponential Kolmogorov–Nagumo average.
Pablo A Morales   +2 more
doaj   +1 more source

Habitat Loss Shapes Isotopic Niche Responses of a Didelphid Opossum to Fragmentation in Neotropical Semideciduous Dry Forests of Central Brazil

open access: yesEcology and Evolution, Volume 16, Issue 5, May 2026.
Stable isotope analysis indicates that fragmentation and habitat loss in semideciduous dry forests in the Brazilian Cerrado drive trophic niche shifts in Gracilinanus agilis, with potential consequences for its role as a seed disperser. ABSTRACT Habitat loss and fragmentation have notable effects on species' trophic ecology, often most pronounced in ...
Ingrid de Mattos   +4 more
wiley   +1 more source

Adaptive mixture methods based on Bregman divergences [PDF]

open access: yesDigital Signal Processing, 2013
We investigate adaptive mixture methods that linearly combine outputs of $m$ constituent filters running in parallel to model a desired signal. We use "Bregman divergences" and obtain certain multiplicative updates to train the linear combination weights under an affine constraint or without any constraints.
Donmez, M. A., Inan, H. A., Kozat, S. S.
openaire   +4 more sources

Debate: Young people are living in unprecedented times – too much chaos or too little resilience?: No Pain, No Gain? Why articulating distress marks youth resilience

open access: yesChild and Adolescent Mental Health, Volume 31, Issue 2, Page 137-139, May 2026.
Rising levels of anxiety and depression among children and adolescents are increasingly cited as evidence that today's youth are growing up in a world of unprecedented chaos and diminishing resilience. Yet, this interpretation rests on a fragile assumption: that greater expression of distress necessarily signals weaker coping.
Levi van Dam
wiley   +1 more source

Convex Relaxations of Bregman Divergence Clustering

open access: yesCoRR, 2013
Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013)
Hao Cheng 0002   +2 more
openaire   +3 more sources

Management of the Marine Pest Undaria pinnatifida at a High Value Marine Protected Area

open access: yesEcological Management &Restoration, Volume 27, Issue 2, May 2026.
ABSTRACT Controlling the invasive species Undaria pinnatifida remains a worldwide issue with very few successful eradications reported. Following the detection of U. pinnatifida within a Marine Protected Area in Victoria, Australia, in 2017, an ongoing management program was implemented, with monitoring occurring until 2022.
Jacqueline B. Pocklington   +3 more
wiley   +1 more source

Metrics defined by Bregman Divergences [PDF]

open access: yesCommunications in Mathematical Sciences, 2008
Bregman divergences are generalizations of the well known Kullback-Leibler divergence. They are based on convex functions and have recently received great attention. We present a class of “squared root metrics” based on Bregman divergences. They can be regarded as natural generalization of Euclidean distance.
Chen, P., Chen, Y., Rao, M.
openaire   +2 more sources

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