Results 11 to 20 of about 19,982 (307)

Analysis of entropies based on empirical mode decomposition in amnesic mild cognitive impairment of diabetes mellitus [PDF]

open access: yesJournal of Innovative Optical Health Sciences, 2015
EEG characteristics that correlate with the cognitive functions are important in detecting mild cognitive impairment (MCI) in T2DM. To investigate the complexity between aMCI group and age-matched non-aMCI control group in T2DM, six entropies combining ...
Dong Cui   +5 more
doaj   +1 more source

Empirical entropy, minimax regret and minimax risk [PDF]

open access: yesBernoulli, 2017
We consider the random design regression model with square loss. We propose a method that aggregates empirical minimizers (ERM) over appropriately chosen random subsets and reduces to ERM in the extreme case, and we establish sharp oracle inequalities for its risk. We show that, under the $\varepsilon^{-p}$ growth of the empirical $\varepsilon$-entropy,
Rakhlin, Alexander   +2 more
openaire   +4 more sources

Effect of d-Dimensional Re-orderings on Lossless Compression of Radio-Astronomy and Digital Elevation Data

open access: yesIEEE Access, 2021
For multidimensional data, Space-Filling Curves (SFCs) have been used to improve the execution time of spatial data queries. However, their effect on compression, when used to reorder the uncompressed values, is known to a lesser extent.
Conrad J. Haupt   +2 more
doaj   +1 more source

A Robust Machine Learning Model for Diabetic Retinopathy Classification

open access: yesJournal of Imaging, 2023
Ensemble learning is a process that belongs to the artificial intelligence (AI) field. It helps to choose a robust machine learning (ML) model, usually used for data classification.
Gigi Tăbăcaru   +3 more
doaj   +1 more source

Sequential Empirical Coordination Under an Output Entropy Constraint [PDF]

open access: yesIEEE Transactions on Information Theory, 2016
This paper considers the problem of sequential empirical coordination, where the objective is to achieve a given value of the expected uniform deviation between state-action empirical averages and statistical expectations under a given strategic probability measure, with respect to a given universal Glivenko-Cantelli class of test functions.
Ehsan Shafieepoorfard, Maxim Raginsky
openaire   +2 more sources

A Fuzzy Entropy-Based Group Consensus Measure for Financial Investments

open access: yesMathematics, 2023
This study presents a novel, fuzzy entropy-based approach to the measurement of consensus in group decision making. Here, the basic assumption is that the decision inputs are the ‘yes’ or ‘no’ votes of group members on a financial investment that has a ...
József Dombi   +2 more
doaj   +1 more source

Entropy Generation through Non-Equilibrium Ordered Structures in Corner Flows with Sidewall Mass Injection

open access: yesEntropy, 2016
Additional entropy generation rates through non-equilibrium ordered structures are predicted for corner flows with sidewall mass injection. Well-defined non-equilibrium ordered structures are predicted at a normalized vertical station of approximately ...
LaVar King Isaacson
doaj   +1 more source

Random Noise Suppression Method of Micro-Seismic Data Based on CEEMDAN-FE-TFPF

open access: yesApplied Sciences, 2022
As rock fractures caused by micro-seismic events has potential safety hazards to underground workers, it is often necessary to accurately locate the micro-seismic source for hidden danger investigation.
Jianting Chen   +5 more
doaj   +1 more source

Entropic Analysis of Votes Expressed in Italian Elections between 1948 and 2018 [PDF]

open access: yes, 2020
open access articleIn Italy, the elections occur often, indeed almost every year the citizens are involved in a democratic choice for deciding leaders of different administrative entities.
Dhesi, Gurjeet   +3 more
core   +1 more source

Spectral Entropy, Empirical Entropy and Empirical Exergy for Deterministic Boundary-Layer Structures [PDF]

open access: yesEntropy, 2013
A modified form of the Townsend equations for the fluctuating velocity wave vectors is applied to a laminar three-dimensional boundary-layer flow in a methane fired combustion channel flow environment. The objective of this study is to explore the applicability of a set of low dimensional, coupled, nonlinear differential equations for the prediction of
openaire   +2 more sources

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