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Showing 1 to 6 of 6 for “"Space-filling designs"”.

  1. Advancements on the Interface of Computer Experiments and Survival Analysis

    … focusing on efficient data collection (e.g., space-filling designs), surrogate modeling (e.g., Gaussian process models), and uncertainty quantification. Survival analysis focuses on modeling the period of time until a certain event happens. Data collection, prediction, and uncertainty …

    vt Repository record for Advancements on the Interface of Computer Experiments and Survival Analysis (opens in a new tab)

  2. Breaking barriers to design dimensions in nearly orthogonal Latin hypercubes

    … experiments. A key property of these efficient, space-filling designs is their ability to explore many factors within a relatively modest number of design points; however, there is a limited inventory of these designs currently available. Those that have been catalogued are usually …

    nps Repository record for Breaking barriers to design dimensions in nearly orthogonal Latin hypercubes (opens in a new tab)

  3. Deep Gaussian Process Surrogates for Computer Experiments

    … and model updating that departs from traditional space-filling designs and yields more accurate surrogates for fixed simulation effort. I propose new sequential design schemes that rely on optimization of acquisition criteria through evaluation of strategically allocated candidates instead of …

    vt Repository record for Deep Gaussian Process Surrogates for Computer Experiments (opens in a new tab)

  4. Computer Experimental Design for Gaussian Process Surrogates

    … fields is to efficiently explore the input space using a small number of samples, i.e., the experimental design problem. This dissertation focuses on the design problem under Gaussian process surrogates. The first work demonstrates empirically that space-filling designs disappoint when the …

    vt Repository record for Computer Experimental Design for Gaussian Process Surrogates (opens in a new tab)

  5. Optimal Driver Risk Modeling

    … of any "black box" function in high dimensional space. Here the "black box" means that the specific formulation of the objective function is unknown or is complicated. The miCCD approach has two major parts: a multi-start scheme and local optimization. The multi-start scheme finds multiple …

    vt Repository record for Optimal Driver Risk Modeling (opens in a new tab)

  6. Contributions to quality improvement methodologies and computer experiments

    … plot experiments, and construction of minimax designs. Selective assembly has traditionally been used to achieve tight specifications on the clearance of two mating parts. Chapter 1 proposes generalizations of the selective assembly method to assemblies with any number of components and any …

    gatech Repository record for Contributions to quality improvement methodologies and computer experiments (opens in a new tab)