Results 1 to 10 of about 1,202,565 (290)
New Journal of Physics, 2014 Standard tomographic analyses ignore model uncertainty. It is assumed that a given model generated the data and the task is to estimate the quantum state, or a subset of parameters within that model.
Christopher Ferrie
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Bayesian Network Model Averaging Classifiers by Subbagging [PDF]
Entropy, 2022 When applied to classification problems, Bayesian networks are often used to infer a class variable when given feature variables. Earlier reports have described that the classification accuracy of Bayesian network structures achieved by maximizing the ...
Shouta Sugahara, Itsuki Aomi, Maomi Ueno
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clusterBMA: Bayesian model averaging for clustering [PDF]
PLoS ONE, 2023 Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature.
Owen Forbes +9 more
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Determination of Bio-Based Fertilizer Composition Using Combined NIR and MIR Spectroscopy: A Model Averaging Approach [PDF]
Sensors, 2022 Application of bio-based fertilizers is considered a practical solution to enhance soil fertility and maintain soil quality. However, the composition of bio-based fertilizers needs to be quantified before their application to the soil.
Khan Wali +4 more
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Combining Predictions of Auto Insurance Claims
Econometrics, 2022 This paper aims to better predict highly skewed auto insurance claims by combining candidate predictions. We analyze a version of the Kangaroo Auto Insurance company data and study the effects of combining different methods using five measures of ...
Chenglong Ye +5 more
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Frontiers in Energy Research, 2021 In view of the intrinsic complexity of the oil market, crude oil prices are influenced by numerous factors that make forecasting very difficult.
Bai Huang +6 more
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Sensors, 2023 Previous studies investigating multi-sensor fusion for the collection of soil information have shown variable improvements, and the underlying prediction mechanisms are not sufficiently understood for spectrally-active and -inactive properties.
Isabel Greenberg +5 more
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A New Model Averaging Approach in Predicting Credit Risk Default
Risks, 2021 The paper introduces a novel approach to ensemble modeling as a weighted model average technique. The proposed idea is prudent, simple to understand, and easy to implement compared to the Bayesian and frequentist approach.
Paritosh Navinchandra Jha +1 more
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Confidence Distributions for FIC Scores
Econometrics, 2020 When using the Focused Information Criterion (FIC) for assessing and ranking candidate models with respect to how well they do for a given estimation task, it is customary to produce a so-called FIC plot. This plot has the different point estimates along
Céline Cunen, Nils Lid Hjort
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RETRACTED: Deep Fractional Max Pooling Neural Network for COVID-19 Recognition
Frontiers in Public Health, 2021 Aim: Coronavirus disease 2019 (COVID-19) is a form of disease triggered by a new strain of coronavirus. This paper proposes a novel model termed “deep fractional max pooling neural network (DFMPNN)” to diagnose COVID-19 more efficiently.Methods: This 12 ...
Shui-Hua Wang +4 more
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