Browsing by Subject "Bayesian Optimization"
Now showing items 1-5 of 5
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(2022-07-28)Bayesian optimization (BO), a sequential design strategy for global optimization problem, has gained popularity during last decades for its capability of handling computationally expensive derivative-free objective functions ...
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(2022-07-08)The study that is discussed in this thesis involves a unique method of quantifying uncertainty with respect to a classification problem. In essence, the objective involves redefining a materials classification problem ...
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(2022-09-20)With the technological advancements made in recent years, more powerful computational machines are built. The ability to handle large computational problems, both in terms of storage requirements and processing time has ...
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(2019-02-25)Demand for learning, design and decision making is higher than ever before. Autonomous vehicles need to learn how to ride safely by recognizing pedestrians, traffic signs, and other cars. Companies and consumers need to ...
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(2021-06-23)Microstructure sensitive design (MSD) has become an essential component of Integrated Computational Materials Engineering (ICME). There are effectively two components to MSD, multi-scale, microstructure sensitive materials ...