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- W4385189218 abstract "In this paper, we study the problem of finding a control input plan that maximizes a profit function based on a statistical model. We employ covariate shift adaptation so that the statistical model has a high prediction ability at important covariate values. The degree of importance is determined by the profit function. To determine a control input plan based on the statistical model, we develop an iterative method that updates the statistical model and the control input plan alternately. We illustrate the effectiveness of the iterative alternate optimization method by a charge/discharge plan problem of a battery." @default.
- W4385189218 created "2023-07-25" @default.
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- W4385189218 date "2023-01-01" @default.
- W4385189218 modified "2023-09-27" @default.
- W4385189218 title "利益関数の推定精度が高い統計モデルの構築" @default.
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- W4385189218 doi "https://doi.org/10.9746/sicetr.59.330" @default.
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