Results 71 to 80 of about 500 (159)

Cost-sensitive learning based on Bregman divergences [PDF]

Machine Learning, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raúl Santos-Rodríguez, Alicia Guerrero-Curieses, Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro   +3 more
openaire   +4 more sources

Linking regional and global functional trait data: insights from mammal communities in a fragmented Atlantic Forest landscape

Oikos, Volume 2026, Issue 7, July 2026.
Accurate functional trait data are essential for understanding ecosystem services and processes in fragmented landscapes. We evaluated whether the global EltonTraits 1.0 database adequately represents the functional structure of mammal communities in forest fragments and restoration sites in a highly fragmented Atlantic Forest landscape.
Maria F. R. Godoi, Fábio Z. Farneda, Alan D. Pereira, Marcos Akira‐ Umeno, Fernanda C. Marques, Marcos Robalinho Lima   +5 more
wiley   +1 more source

Bregman Wave Distribution Function Method

Radio Science, Volume 61, Issue 7, July 2026.
Abstract This study proposes a wave distribution function (WDF) estimation method based on minimizing the Bregman divergence in the function space. The proposed method is entirely data‐driven and requires no hyperparameter tuning during the estimation process. It can be regarded as an extension of the maximum entropy method.
Ryosei Nakazawa, Mamoru Ota, Yoshiya Kasahara   +2 more
wiley   +1 more source

Thermodynamics of exponential Kolmogorov–Nagumo averages

New 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, Jan Korbel, Fernando E Rosas   +2 more
doaj   +1 more source

International Progress and Colonial Critique in E.H. Carr's Reflexive Realism

Constellations, EarlyView.
Arturo Chang
wiley   +1 more source

Enhanced Time‐Locked Decoding for Spoken Words but Not Environmental Sounds in Natural‐Like Auditory Conditions

European Journal of Neuroscience, Volume 64, Issue 1, July 2026.
We examined cortical tracking of speech under naturalistic auditory conditions by recording MEG responses while participants listened to superimposed spoken words and environmental sounds. Decoding sound envelopes and spectrograms from the MEG responses revealed a more accurate cortical tracking of speech compared to other natural sounds in the left ...
Jesper Edström, Anni Nora, Oona Rinkinen, Riitta Salmelin, Hanna Renvall   +4 more
wiley   +1 more source

Contrasting Forest Trajectories Drive Changes in Bird Functional Traits

Journal of Biogeography, Volume 53, Issue 7, July 2026.
ABSTRACT Aim We investigated how bird functional diversity varies across forest habitat types with distinct successional trajectories, namely (1) natural succession forests, with naturally regenerating forests established on former grasslands; (2) secondary forest remnants resulting from deforestation; and (3) conserved forests.
Larissa Corsini Calsavara Nozawa, Cristina Banks‐Leite, Marcos Robalinho Lima, José Ricardo Pires Adelino, Jan Karel Felix Mähler, Sandra Maria Hartz, Luiz dos Anjos   +6 more
wiley   +1 more source

On MAP Estimates and Source Conditions for Drift Identification in SDEs

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT We consider the inverse problem of identifying the drift in an stochastic differential equation (SDE) from n$n$ observations of its solution at M+1$M+1$ distinct time points. We derive a corresponding maximum a posteriori (MAP) estimate, we prove differentiability properties as well as a so‐called tangential cone condition for the forward ...
Daniel Tenbrinck, Nikolas Uesseler, Philipp Wacker, Benedikt Wirth   +3 more
wiley   +1 more source

Bregman–Wasserstein Divergence: Geometry and Applications

IEEE Transactions on Information Theory
The Bregman-Wasserstein divergence is the optimal transport cost when the underlying cost function is given by a Bregman divergence, and arises naturally in fields such as statistics and machine learning. We establish fundamental properties of the Bregman-Wasserstein divergence and propose a novel generalized transport geometry that promotes the ...
Amanjit Singh Kainth, Cale Rankin, Ting-Kam Leonard Wong   +2 more
openaire   +2 more sources

Adaptive mixture methods based on Bregman divergences [PDF]

Digital 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