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On the efficacy of conditioned and progressive Latin hypercube sampling in supervised machine learning
1 references·0 citing·6 second hopsampled
On the efficacy of conditioned and progressive Latin hypercube sampling in supervised machine learning (2024)On the efficacy of conditioned and progre…Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models (2017)Progressive Latin Hypercube S…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Design and Analysis of Computer Experiments (1989)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Multi-criteria group decision making under uncertainty: Application in reservoir flood control operation (2017)Global sensitivity analysis for high-dimensional problems: How to objectively group factors and measure robustness and convergence while reducing computational cost (2018)VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis (2018)
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  • 2017Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models258 cited

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