Results 11 to 20 of about 285,377 (255)
Stability and robustness of minimal majority vote interpretable ensembles [PDF]
Scientific ReportsMinimal majority-vote ensembles are attractive for interpretability, yet minimality can induce solution multiplicity and instability. We study stability and robustness of minimal majority-vote ensembles of decision stumps.
Quanfa Li, Zhigao Huang, Miao Pan
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MPBoot: fast phylogenetic maximum parsimony tree inference and bootstrap approximation
BMC Evolutionary Biology, 2018 Background The nonparametric bootstrap is widely used to measure the branch support of phylogenetic trees. However, bootstrapping is computationally expensive and remains a bottleneck in phylogenetic analyses.
Diep Thi Hoang +5 more
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Journal of Physics A: Mathematical and Theoretical, 2022 Abstract One of the main challenges in obtaining predictions for collider experiments from perturbative quantum field theory, is the direct evaluation of the Feynman integrals it gives rise to. In this chapter, we review an alternative bootstrap method that instead efficiently constructs physical quantities by exploiting their analytic ...
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Remote Sensing, 2020 This study predicts forest fire susceptibility in Chaloos Rood watershed in Iran using three machine learning (ML) models—multivariate adaptive regression splines (MARS), support vector machine (SVM), and boosted regression tree (BRT). The study utilizes
Bahareh Kalantar +5 more
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More analytic bootstrap: nonperturbative effects and fermions
Journal of High Energy Physics, 2019 We develop the analytic bootstrap in several directions. First, we discuss the appearance of nonperturbative effects in the Lorentzian inversion formula, which are exponentially suppressed at large spin but important at finite spin.
Soner Albayrak +2 more
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PLoS Medicine, 2021 BackgroundAdolescence is a critical point in the realization of human capital, as health and educational decisions with long-term impacts are made.
Zeba A Rasmussen +10 more
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<b>A bootstrapped neural network model applied to prediction of the biodegradation rate of reactive Black 5 dye</b> - doi: 10.4025/actascitechnol.v35i3.16210 [PDF]
Acta Scientiarum. Technology, 2013 Current essay forwards a biodegradation model of a dye, used in the textile industry, based on a neural network propped by bootstrap remodeling. Bootstrapped neural network is set to generate estimates that are close to results obtained in an intrinsic experience in which a chemical process is applied.
Prado, Kleber Rogério Moreira +5 more
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Time-varying long-term Memory in the Tehran Stock Exchange: the Generalized Hurst Exponents and the Rolling Window Approach [PDF]
Journal of Asset Management and Financing, 2020 Objective: This study is the first to examine the issue of time-varying long-term memory in the Tehran Stock Exchange, using a new efficiency index through a rolling window technique.
elham farzanegan
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Comparison of Parameter Estimator Efficiency Levels of Path Analysis with Bootstrap and Jack Knife (Delete-5) Resampling Methods on Simulation Data [PDF]
Jurnal Matematika, Statistika dan Komputasi, 2020 In practice, the assumptions of normality are often not met, this causes the estimation of the resulting parameters to be less efficient. Problems with the assumption that normality is not met can be overcome by resampling. The use of resampling allows data to be applied free from distribution assumptions.
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Environmental Health, 2009 Background The International Commission on Radiological Protection (ICRP) recommended annual occupational dose limit is 20 mSv. Cancer mortality in Japanese A-bomb survivors exposed to less than 20 mSv external radiation in 1945 was analysed previously ...
Dropkin Greg
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