Results 61 to 70 of about 7,890 (182)
Oikos, EarlyView.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 +5 more
wiley +1 more source
Non-Extensive Entropic Distance Based on Diffusion: Restrictions on Parameters in Entropy Formulae
Entropy, 2016 Based on a diffusion-like master equation we propose a formula using the Bregman divergence for measuring entropic distance in terms of different non-extensive entropy expressions. We obtain the non-extensivity parameter range for a universal approach to
Tamás Sándor Biró, Zsolt Schram
doaj +1 more source
Entropy, 2022 We consider information-theoretic bounds on the expected generalization error for statistical learning problems in a network setting. In this setting, there are K nodes, each with its own independent dataset, and the models from the K nodes have to be ...
Leighton Pate Barnes +2 more
doaj +1 more source
Entropy, 2014 Information geometry studies the dually flat structure of a manifold, highlighted by the generalized Pythagorean theorem. The present paper studies a class of Bregman divergences called the (ρ,τ)-divergence.
Shun-ichi Amari
doaj +1 more source
Burkholder inequality by Bregman divergence
Bulletin of the Polish Academy of Sciences Mathematics, 2022 We updated a reference, corrected constants c_p and C_p, and made small editorial changes.
Bogdan, Krzysztof, Więcek, Mateusz
openaire +2 more sources
Geographic risks to functional groups of mammals and birds from habitat loss in Mexico
Conservation Biology, EarlyView.Abstract There is a need to quantify the impact of habitat loss due to anthropogenic factors on different aspects of biodiversity, such as functional trait diversity represented by functional groups (FGs). We developed a metric to assess the weighted risk of loss of habitat for 33 FGs of mammals and 36 FGs of birds in Mexico based on potential ...
Fernando Mayani‐Parás +4 more
wiley +1 more source
Worst-case and smoothed analysis of k-means clustering with Bregman divergences
Journal of Computational Geometry, 2013 The k-means method is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice despite its exponential worst-case running-time.
Bodo Manthey, Heiko Roeglin
doaj +1 more source
Quantization and clustering with Bregman divergences
Journal of Multivariate Analysis, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Cost-sensitive learning based on Bregman divergences [PDF]
Machine Learning, 2009 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raúl Santos-Rodríguez +3 more
openaire +4 more sources
Sound offset responses become highly informative in the auditory cortex
The Journal of Physiology, EarlyView.Abstract figure legend Using large datasets of neural responses to diverse sounds recorded across four stages of the mouse auditory system (depicted and colour‐coded on the left), offset responses occurring after the termination of each sound (time window indicated by the orange shaded area superimposed with activity traces) were characterized and it ...
Charly Lamothe +3 more
wiley +1 more source