This volume contains the Proceedings of the International Workshop on Cost-Sensitive. Learning - COST'2018. This workshop was co-organized by the Laboratory ...
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Cost-Sensitive Learning: Preface ... Proceedings of The International Workshop on Cost-Sensitive Learning, PMLR 88:1-3, 2018. Cite this Paper. BibTeX.
Jan 14, 2020 · Cost-sensitive learning is a subfield of machine learning that takes the costs of prediction errors (and potentially other costs) into account ...
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This paper presents a few different approaches for cost-sensitive modifications of the back- propagation learning algorithm for multilayered feedforward neural.
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This volume contains the Proceedings of the International Workshop on Cost-Sensitive Learning COST'2018, co-organized by the Laboratory of Artificial ...
Cost-sensitive learning is a subfield of machine learning that addresses classification problems where the misclassification costs are not equal [Elk01, ...
Missing: Preface. | Show results with:Preface.
We propose and evaluate a family of methods for con- verting classifier learning algorithms and classification the- ory into cost-sensitive algorithms and ...
For the two-class case, we prove a theorem that shows how to change the proportion of negative examples in a training set in order to make optimal cost- ...
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We study binary classification in the presence of class-conditional random noise, where the learner gets to see labels that are flipped independently with ...
Dec 24, 2021 · Essentially, cost-sensitive learning involves assigning different misclassification costs to the different classes, based on their importance ...
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