Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...
Abstract: In the context of a data-intensive society, the construction and optimization of predictive models have become increasingly essential. As an integrated learning algorithm, Gradient Boosting ...
Abstract: This paper aims at the relationship between exploration and exploitation in the optimization experiment design based on the Kriging surrogate model. In the initialization stage, an MMD-LHS ...
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