Results 111 to 120 of about 100,426 (289)
Some bounds for skewed α-Jensen-Shannon divergence
Based on the skewed Kullback-Leibler divergence introduced in the natural language processing, we derive the upper and lower bounds on the skewed version of the Jensen-Shannon divergence and investigate properties of them.
Takuya Yamano
doaj +1 more source
“I'm a Good Guy Who Deserves Better, Yet Nobody Wants to Give me Better”: The Accounts of Nice Guys
Within Western popular culture and online discourse, a “Nice Guy” is someone who enacts niceness for which they believe they are owed, deserving of, or entitled to something in return—especially the romantic or sexual attention of women. In this study, we examine the use of accounts in personal narratives told in an anonymous online discussion forum ...
Brooke Weinmann, Dennis D. Waskul
wiley +1 more source
A uinivariate extension of Jensens inequality
The result in this paper explains some of the qualitative nature of Jensen's inequality. It is shown that the more disperse the distribution of a random variable is, the smaller is the expectation of any concave function of it. This result can be used to show the inadequacy of some current methods of reporting environmental data by using geometric ...
openaire +3 more sources
Abstract This forum piece begins with a spoken word poem titled A Pedagogy of Wonder, performed by the author, through which the intersections of trauma, language teaching, and creative inquiry are explored. While TESOL scholarship has predominantly focused on refugee‐background or international students as “traumatized populations,” and on trauma ...
Jennifer Burton
wiley +1 more source
Some New Improvements for Fractional Hermite–Hadamard Inequalities by Jensen–Mercer Inequalities
This article’s objective is to introduce a new double inequality based on the Jensen–Mercer JM inequality, known as the Hermite–Hadamard–Mercer inequality. We use the JM inequality to build a number of generalized trapezoid-type inequalities.
Maryam Gharamah Ali Alshehri +3 more
doaj +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
On a Converse of Jensen's Discrete Inequality
We give the best possible global bounds for a form of discrete Jensen's inequality. By some examples the fruitfulness of this result is shown.
Slavko Simic
doaj +1 more source
HPoolGCL: Augmentation‐Free Cross‐Granularity Graph Contrastive Learning With Hierarchical Pooling
ABSTRACT Graph contrastive learning (GCL) has emerged as a dominant paradigm for self‐supervised representation learning for attributed graph data. However, existing GCL methods heavily rely on empirical graph data augmentation, which may distort intrinsic graph semantics and produce poor generalisation without carefully chosen or designed augmentation
Fenglin Cen +4 more
wiley +1 more source
Drawing on fieldwork conducted in a hospital in Greater Manchester, England in 2016–17, we describe how a set of national health priorities were translated into work for hospital managers and clinicians during a period of significant organizational pressure.
Adam Brisley +2 more
wiley +1 more source

