Results 51 to 60 of about 719,028 (211)
Generalized Jensen and Jensen–Mercer inequalities for strongly convex functions with applications
Journal of Inequalities and ApplicationsStrongly convex functions as a subclass of convex functions, still equipped with stronger properties, are employed through several generalizations and improvements of the Jensen inequality and the Jensen–Mercer inequality.
Slavica Ivelić Bradanović +1 more
doaj +1 more source
Genome Biology, 2020 In population genomics, genetic diversity measures play an important role in genome scans for divergent sites. In population epigenomics, comparable tools are rare although the epigenome can vary at several levels of organization. We propose a model-free,
Önder Kartal +2 more
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Advanced Electronic Materials, EarlyView.ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez +10 more
wiley +1 more source
Discrimination measure of correlations in a population of neurons by using the Jensen-Shannon divergence [PDF]
, 2023 The significance of synchronized spikes fired by nearby neurons for perception is still unclear. To evaluate how reliably one can decide if a given response on the population coding of sensory information comes from the full distribution, or from the ...
Schultz, Simon R. +2 more
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Skewed Jensen—Fisher Divergence and Its Bounds
, 2021 A non-uniform (skewed) mixture of probability density functions occurs in various disciplines. One needs a measure of similarity to the respective constituents and its bounds.
Takuya Yamano
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Extrinsic Jensen–Shannon Divergence: Applications to Variable-Length Coding [PDF]
IEEE Transactions on Information Theory, 2015 17 pages (two-column), 4 figures, to appear in IEEE Transactions on Information ...
Mohammad Naghshvar +2 more
openaire +4 more sources
New Improvements of the Jensen–Mercer Inequality for Strongly Convex Functions with Applications
AxiomsIn this paper, we use the generalized version of convex functions, known as strongly convex functions, to derive improvements to the Jensen–Mercer inequality. We achieve these improvements through the newly discovered characterizations of strongly convex
Muhammad Adil Khan +2 more
doaj +1 more source
An Entropy Formulation Based on the Generalized Liouville Fractional Derivative
Entropy, 2019 This paper presents a new formula for the entropy of a distribution, that is conceived having in mind the Liouville fractional derivative. For illustrating the new concept, the proposed definition is applied to the Dow Jones Industrial Average. Moreover,
Rui A. C. Ferreira, J. Tenreiro Machado
doaj +1 more source
From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives
Advanced Intelligent Systems, EarlyView.Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith +4 more
wiley +1 more source
Quantum Jensen-Shannon divergence between quantum ensembles [PDF]
, 2012 In this paper, we first define quantum Jensen-Shannon divergence (QJSD) between quantum states in infinite-dimensional case and discuss its properties.
Wu, Zhaoqi, Zhang, Shifang, Zhu, Chuanxi
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