Results 61 to 70 of about 30,421 (194)

Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning [PDF]

open access: yes, 2014
Stochastic gradient descent algorithms for training linear and kernel predictors are gaining more and more importance, thanks to their scalability. While various methods have been proposed to speed up their convergence, the model selection phase is often
Orabona, Francesco
core  

Projective filtering of a single spatial radiation eigenmode

open access: yes, 2015
Lossless filtering of a single coherent (Schmidt) mode from spatially multimode radiation is a problem crucial for optics in general and for quantum optics in particular.
Chekhova, M. V.   +6 more
core   +1 more source

Sustainability in Healthcare: The Role of Digital Technologies for Improving Patient Engagement

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT Sustainability in healthcare is getting considerable research attention as systems worldwide tend to balance environmental, social, and economic factors. In this context, digital technologies have demonstrated significant potential to enhance engagement among different consumer groups across various industries.
Francesco Schiavone   +4 more
wiley   +1 more source

Hermite–Hadamard–Mercer type inequalities for fractional integrals: A study with h-convexity and ψ-Hilfer operators

open access: yesBoundary Value Problems
In this paper, we first prove a generalized fractional version of Hermite-Hadamard-Mercer type inequalities using h-convex functions by means of ψ-Hilfer fractional integral operators.
Noureddine Azzouz   +3 more
doaj   +1 more source

Regularity dependence of the rate of convergence of the learning curve for Gaussian process regression [PDF]

open access: yes, 2012
This paper deals with the speed of convergence of the learning curve in a Gaussian process regression framework. The learning curve describes the average generalization error of the Gaussian process used for the regression.
Garnier, Josselin, Gratiet, Loic Le
core   +2 more sources

On a Mercer like inequality involving generalized Csiszár f-divergences [PDF]

open access: yesMathematical Inequalities & Applications, 2021
An upper bound for values of a convex function \(f\) is provided in terms of a Mercer-like inequality by means of generalized Csiszár \(f\)-divergences. Some relevant special cases of the main result are discussed as well.
openaire   +2 more sources

Evolution of Patient and Public Involvement and Engagement in Health‐Related Research: A Concept Analysis

open access: yesJournal of Advanced Nursing, EarlyView.
ABSTRACT Aims To clarify the definition and evolution of Patient and Public Involvement and Engagement (PPIE) and identify its attributes, antecedents, and consequences in health‐related research. Design This study follows Rodgers' evolutionary concept analysis with a seven‐step framework.
Wenze Lu   +9 more
wiley   +1 more source

Chebyshev's inequality of the Mercer type

open access: yes, 2022
We consider the discrete Jensen-Mercer inequality and Chebyshev's inequality of the Mercer type. We present bounds for Chebyshev's functional of the Mercer type and bounds for the Jensen-Mercer functional in terms of the discrete Ostrowski inequality. We show how these results can be used to establish new refinements of the considered inequalities.
Matković, Anita, Pečarić, Josip
openaire   +2 more sources

World Englishes, heterodoxy, and applied linguistics

open access: yesWorld Englishes, EarlyView.
Abstract It is understandable that many people find it challenging to adopt a positive moral position with regard to English and its role in the world. The language is used in many contexts and situations to prop up systems of discrimination and inequality, leading to negative material and symbolic outcomes.
Christopher Jenks
wiley   +1 more source

Boundary behavior of the Kobayashi distance in pseudoconvex Reinhardt domains

open access: yes, 2012
We prove that the Kobayashi distance near boundary of a pseudoconvex Reinhardt domain $D$ increases asymptotically at most like $-\log d_D+C$. Moreover, for boundary points from $\text{int}\bar{D}$ the growth does not exceed $1/2\log(-\log d_D)+C$.
Warszawski, Tomasz
core   +1 more source

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