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Publikováno v:
Information sciences
Predictive models are increasingly being used to optimize decision-making and minimize costs. A conventional approach is predict-then-optimize: first, a predictive model is built; then, this model is used to optimize decision-making. A drawback of th
Publikováno v:
Advances in data analysis and classification
Instance-dependent cost-sensitive (IDCS) learning methods have proven useful for binary classification tasks where individual instances are associated with variable misclassification costs. However, we demonstrate in this paper by means of a series o
Publikováno v:
International Journal of Production Economics. 258:108798
ispartof: 55th Hawaii International Conference on System Sciences (HICSS-55) ispartof: 55th Hawaii International Conference on System Sciences (HICSS-55) location:Honolulu, Hawaii date:4 Jan - 7 Jan 2022 status: published
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a550f861ea76386858334a26797d0a26
https://lirias.kuleuven.be/handle/123456789/679758
https://lirias.kuleuven.be/handle/123456789/679758