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   Articles with "number components" as a keyword



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Determination of optimum number of components in partial least squares regression from distributions of the root‐mean‐squared error obtained by Monte Carlo resampling

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recommendations! Published in 2018 at "Journal of Chemometrics"

DOI: 10.1002/cem.2993

Abstract: Monte Carlo resampling is utilized to determine the number of components in partial least squares (PLS) regression. The data are randomly and repeatedly divided into calibration and validation samples. For each repetition, the root‐mean‐squared error… read more here.

Keywords: rmse; monte carlo; carlo resampling; optimum number ... See more keywords
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Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

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recommendations! Published in 2019 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2018.2886341

Abstract: The number of component classifiers chosen for an ensemble greatly impacts the prediction ability. In this paper, we use a geometric framework for a priori determining the ensemble size, which is applicable to most of… read more here.

Keywords: number; ensemble size; less comprehensive; number components ... See more keywords
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Sequential Test for a Mixture of Finite Exponential Distribution

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recommendations! Published in 2021 at "Journal of Mathematics"

DOI: 10.1155/2021/6625853

Abstract: Testing the number of components in a finite mixture is considered one of the challenging problems. In this paper, exponential finite mixtures are used to determine the number of components in a finite mixture. A… read more here.

Keywords: finite exponential; distribution; sequential test; test ... See more keywords

Reliability evaluation of m-consecutive- k, l-out-of-n: F system subjected to shocks

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recommendations! Published in 2021 at "Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability"

DOI: 10.1177/1748006x211048992

Abstract: In this paper, we propose a shock model for an m-consecutive- k, l-out-of- n: F system. This paper presents a reliability analysis of an m-consecutive- k, l-out-of- n: F system subjected to shocks that destroy… read more here.

Keywords: subjected shocks; system subjected; reliability; number components ... See more keywords
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An algorithmic reliability evaluation approach for a multi-state k-out-of-n:G system with nonidentical and large number of components

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recommendations! Published in 2022 at "Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability"

DOI: 10.1177/1748006x221085340

Abstract: This paper deals with the dynamic reliability analysis of two different three-state k-out-of-n:G systems that consist of independent and nonidentical components. Marginal and joint survival functions are represented by using permanents. Due to the permanent-based… read more here.

Keywords: evaluation; state; large number; number ... See more keywords