Results 61 to 70 of about 5,307 (157)

Looking back and looking forward: A scientometric analysis of the evolution of corporate sustainability research over 47 years

open access: yesCorporate Social Responsibility and Environmental Management, Volume 31, Issue 3, Page 2225-2259, May 2024.
Abstract This study systematically reviews the evolutionary trajectory of corporate sustainability research spanning from 1973 to 2019. Through a scientometric analysis of 26,111 Web of Science articles, it demonstrates the continuous development of the conceptual foundations of corporate sustainability, leading to changes in research subjects over ...
Soh Young In   +2 more
wiley   +1 more source

Exploring Advanced Versions of Hermite‐Hadamard and Trapezoid‐Type Inequalities by Implementation of Fuzzy Interval‐Valued Functions

open access: yesJournal of Function Spaces, Volume 2024, Issue 1, 2024.
The extension of interval‐valued and real‐valued functions known as fuzzy interval‐valued function (FIVF) has made substantial contributions to the theory of interval analysis. In this article, we explore the importance of h‐Godunova‐Levin fuzzy convex and preinvex functions and also develop the new generation of the Hermite‐Hadamard and trapezoid‐type
Yaqun Niu   +8 more
wiley   +1 more source

Generalized Jensen and Jensen–Mercer inequalities for strongly convex functions with applications

open access: yesJournal of Inequalities and Applications
Strongly 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

Some Hermite–Jensen–Mercer type inequalities for k-Caputo-fractional derivatives and related results

open access: yesAdvances in Difference Equations, 2020
In this paper, certain Hermite–Hadamard–Mercer type inequalities are proved via k-Caputo fractional derivatives. We established some new k-Caputo fractional derivatives inequalities with Hermite–Hadamard–Mercer type inequalities for differentiable ...
Shupeng Zhao   +5 more
doaj   +1 more source

New variants of the Hermite–Hadamard–Mercer type estimates involving the Beta function with numerical analysis

open access: yesBoundary Value Problems
A refined form of the Jensen–Mercer inequality has recently been introduced in the literature. Utilizing this improved inequality, we derive several new variants of the Hermite–Hadamard–Mercer type inequality, along with related estimates involving the ...
Eze R. Nwaeze
doaj   +1 more source

Tail asymptotics of signal-to-interference ratio distribution in spatial cellular network models

open access: yes, 2017
We consider a spatial stochastic model of wireless cellular networks, where the base stations (BSs) are deployed according to a simple and stationary point process on $\mathbb{R}^d$, $d\ge2$.
Miyoshi, Naoto, Shirai, Tomoyuki
core   +1 more source

Kernel Exponential Family Estimation via Doubly Dual Embedding [PDF]

open access: yes, 2019
We investigate penalized maximum log-likelihood estimation for exponential family distributions whose natural parameter resides in a reproducing kernel Hilbert space.
Dai, Bo   +5 more
core   +1 more source

Similarity-Based Models of Word Cooccurrence Probabilities

open access: yes, 1998
In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may need to determine which of the two word combinations ``eat a peach'' and ``eat a beach'
Dagan, Ido   +2 more
core   +1 more source

Hermite–Jensen–Mercer type inequalities for conformable integrals and related results

open access: yesAdvances in Difference Equations, 2020
In this paper, certain Hermite–Jensen–Mercer type inequalities are proved via conformable integrals of arbitrary order. We establish some different and new fractional Hermite–Hadamard–Mercer type inequalities for a differentiable function f whose ...
Saad Ihsan Butt   +4 more
doaj   +1 more source

Kernel methods in machine learning

open access: yes, 2008
We review machine learning methods employing positive definite kernels. These methods formulate learning and estimation problems in a reproducing kernel Hilbert space (RKHS) of functions defined on the data domain, expanded in terms of a kernel.
Hofmann, Thomas   +2 more
core   +2 more sources

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