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Applicability Domain and Gaps of Snf Decay Heat Validation Data – Similarity-Based Approach

https://doi.org/10.2139/ssrn.4801241
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Learning curves for decision making in supervised machine learning: a survey
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Predictive Quantitative Structure–Activity Relationship Modeling
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Validation of spent nuclear fuel decay heat calculations using Polaris, ORIGEN and CASMO5
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Uncertainty analyses of spent nuclear fuel decay heat calculations using SCALE modules
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Validation of ORIGEN for LWR used fuel decay heat analysis with SCALE
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Novel Variable Selection Quantitative Structure−Property Relationship Approach Based on the k -Nearest-Neighbor Principle
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Random Forests
inferredcites →https://doi.org/10.1051/epjn/2022055openalex-extracted
On the estimation of nuclide inventory and decay heat: a review from the EURAD European project
inferredcites →https://doi.org/10.1080/00295450.2021.1935165openalex-extracted
SCALE 6.2.4 Validation for Light Water Reactor Decay Heat Analysis
inferredcites →https://doi.org/10.1080/00295639.2022.2053489openalex-extracted
Blind Benchmark Exercise for Spent Nuclear Fuel Decay Heat
inferredcites →https://doi.org/10.1080/02723646.1981.10642213openalex-extracted
ON THE VALIDATION OF MODELS
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The Shape of Learning Curves: A Review
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Random Forests and Adaptive Nearest Neighbors
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Whisper: Sensitivity/Uncertainty-Based Computational Methods and Software for Determining Baseline Upper Subcritical Limits
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Sensitivity and Uncertainty Analysis of Commercial Reactor Criticals for Burnup Credit
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Building Predictive Models in R Using the caret Package
inferredcites →https://doi.org/10.2172/947598openalex-extracted
TSUNAMI Primer: A Primer for Sensitivity/Uncertainty Calculations with SCALE
inferredcites →https://doi.org/10.2307/1268795openalex-extracted
Applied Nonparametric Statistics
inferredcites →https://doi.org/10.32614/r.manualsopenalex-extracted
R: A Language and Environment for Statistical Computing
inferredcites →https://doi.org/10.3389/fenrg.2023.1161076openalex-extracted
Analyses of the bias and uncertainty of SNF decay heat calculations using Polaris and ORIGEN
inferredcites →https://doi.org/10.48550/arxiv.1811.12808openalex-extracted
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
inferredcites →https://doi.org/10.5282/ubm/epub.1769openalex-extracted
Weighted k-Nearest-Neighbor Techniques and Ordinal Classification
inferredcites →https://doi.org/10.6028/jres.090.043openalex-extracted
The regression analysis of collinear data
inferredcites →https://doi.org/10.5075/epfl-thesis-9309openalex-snapshot
Data-Driven Predictive Models: Calculational Bias in Characterization of Spent Nuclear Fuel
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