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Published in 2017 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2016.1158717
Abstract: ABSTRACT Latin hypercube sampling (LHS) is a robust, scalable Monte Carlo method that is used in many areas of science and engineering. We present a new algorithm for generating hierarchic Latin hypercube sets (HLHS) that…
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Keywords:
latin hypercube;
hypercube;
hierarchical latin;
lhs ... See more keywords
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Published in 2024 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v35.i3.pp1976-1985
Abstract: Cancer, the second leading cause of global death, requires advanced diagnostic technology. Microarray gene expression technology plays an important role in comprehensively analyzing the genetic aspects of cancer. However, challenges such as high-dimensional attributes, limited…
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Keywords:
classification;
microarray;
hypercube sampling;
feature selection ... See more keywords
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Published in 2025 at "Algorithms"
DOI: 10.3390/a18120732
Abstract: Hyperparameters allow metaheuristics to be tuned to a wide range of problems. However, even though formalized tuning of metaheuristic parameters can affect the quality of the solution, it is rarely performed. The empirical selection method…
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Keywords:
methodology;
method;
time;
hypercube sampling ... See more keywords
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Published in 2024 at "Symmetry"
DOI: 10.3390/sym16070901
Abstract: This research paper presents a new Latin hypercube sampling method, aimed at enhancing its performance in quantifying uncertainty and reducing computation time. The new Latin hypercube sampling (LHS) method serves as a tool in reliability-based…
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Keywords:
reliability;
hypercube sampling;
diversity;
design ... See more keywords