Results 51 to 60 of about 245,725 (186)
Tempered Bregman Divergence for Continuous and Discrete Time Mirror Descent and Robust Classification [PDF]
Bregman divergence is an important class of divergence functions in Machine Learning. Many well-known updates including gradient descent and (un)normalized exponentiated gradient are motivated by using a Bregman divergence as the inertia term.
Amid, Ehsan
core +1 more source
We staged dyadic interaction trials between two kangaroo rat species threatened by habitat loss to test whether one species dominates in direct interactions in the field. We found that Stephens’ kangaroo rat (Dipodomys stephensi) residents and intruders were dominant over Dulzura kangaroo rat (Dipodomys simulans). These results suggest that D. simulans
Janine N. Straughan +2 more
wiley +1 more source
Sound offset responses become highly informative in the auditory cortex
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
On a Generalization of the Jensen–Shannon Divergence and the Jensen–Shannon Centroid
The Jensen−Shannon divergence is a renown bounded symmetrization of the Kullback−Leibler divergence which does not require probability densities to have matching supports. In this paper, we introduce a vector-skew generalization of the scalar
Frank Nielsen
doaj +1 more source
Distinctive neurophysiological correlates of sound onset and offset perception in humans
Abstract figure legend Electroencephalography (EEG) recordings were obtained from participants listening to successive pairs of 1‐2 s noises in a silent background (Study 1) or successive pairs 1‐2 s silent gaps in a noise background (Study 2). Participants heard the same stimuli in the context of either a duration discrimination task (identifying ...
Fatima Ali +3 more
wiley +1 more source
Convex Relaxations of Bregman Divergence Clustering
Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013)
Hao Cheng 0002 +2 more
openaire +4 more sources
Discounted dynamic optimization and Bregman divergence
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Non-Extensive Entropic Distance Based on Diffusion: Restrictions on Parameters in Entropy Formulae
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
The family of α-divergences including the oriented forward and reverse Kullback–Leibler divergences is often used in signal processing, pattern recognition, and machine learning, among others.
Frank Nielsen
doaj +1 more source
The link between colorfulness and extinction risk across the world's passerine birds
Abstract Many of the functional traits that mediate extinction risk across the range of biodiversity relate indirectly to a species’ ability to persist in a changing world, yet certain traits such as coloration directly affect human interactions with wildlife.
Montague H. C. Neate‐Clegg +1 more
wiley +1 more source

