Results 21 to 30 of about 106,167 (267)
Weighted averaging and stochastic approximation [PDF]
The authors investigate the relations between weighted averaging and stochastic approximation (SA) algorithms. First, they define the weighted averaging operator and introduce two properties of the operator: regularity and effectiveness. They establish necessary and sufficient conditions on a sequence for convergence of its average.
I-Jeng Wang +2 more
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In this article, we introduce logarithmic operations on bipolar fuzzy numbers (BFNs). We present some new operators based on these operations, namely, the logarithm bipolar fuzzy weighted averaging (L-BFWA) operator, logarithm bipolar fuzzy ordered ...
Chiranjibe Jana +4 more
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Entrepreneurship and Decision-Making in Latin America
The principal purpose of this paper is to analyze different methods for decision making, with a focus on entrepreneurship in Latin America. Decision-making methods may be informed by aggregation operators that are based on the use of probabilities ...
José M. Merigó, Marta Peris-Ortiz
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Weighted Averages in the Ordered Weighted Average Inflation
This paper presents the ordered weighted average weighted average inflation (OWAWAI). The OWAWAI operator is a new formulation for calculating inflation that provides different criteria for the association between the arguments and weights. OWAWAI presents the possibility to generate new approaches that under- or overestimate the results according to ...
Ernesto León-Castro +2 more
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Reciprocal fraction function tools used for \-rung Quadripartitioned neutrosophic sets [PDF]
This paper presents a new method for creating a \-rung reciprocal fraction function. We introduce quadripartitioned neutrosophic sets (QNSS). The reciprocal fraction function applied to quadripartitioned neutrosophic sets are the neutrosophic sets and ...
M.Palanikumar +2 more
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Properties of quadripartitioned neutrosophic interval-valued set to the reciprocal fraction function via various operators [PDF]
A novel technique used to generate quadripartitioned neutrosophic interval-valued sets applied to the reciprocal fraction function is presented in this paper.
M.Palanikumar +2 more
doaj +1 more source
Adversarial Training With Stochastic Weight Average [PDF]
Adversarial training deep neural networks often experience serious overfitting problem. Recently, it is explained that the overfitting happens because the sample complexity of training data is insufficient to generalize robustness. In traditional machine learning, one way to relieve overfitting from the lack of data is to use ensemble methods. However,
Joong-won Hwang +3 more
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The ordered weighted average inflation [PDF]
This paper introduces the ordered weighted average inflation (OWAI). The OWAI operator aggregates the information of a set of inflations and provides a range of scenarios from the minimum and the maximum inflation. The advantage of this approach is that it can provide a flexible inflation formula that can be adapted to the specific characteristics of ...
Ernesto León-Castro +4 more
openaire +3 more sources
The Weighted‐Average Lagged Ensemble [PDF]
AbstractA lagged ensemble is an ensemble of forecasts from the same model initialized at different times but verifying at the same time. The skill of a lagged ensemble mean can be improved by assigning weights to different forecasts in such a way as to maximize skill.
T. DelSole, L. Trenary, M. K. Tippett
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Weighted-Average Quantile Regression
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Chetverikov, Denis +2 more
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