Learning misclassification costs for imbalanced classification on gene expression data
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DOI: 10.1186/s12859-019-3255-x
Abstract: Cost-sensitive algorithm is an effective strategy to solve imbalanced classification problem. However, the misclassification costs are usually determined empirically based on user expertise, which leads to unstable performance of cost-sensitive classification. Therefore, an efficient and… read more here.
Keywords: classification; cost weights; cost; optimal cost ... See more keywords
Online Inverse Optimal Control for Time-Varying Cost Weights
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DOI: 10.3390/biomimetics9020084
Abstract: Inverse optimal control is a method for recovering the cost function used in an optimal control problem in expert demonstrations. Most studies on inverse optimal control have focused on building the unknown cost function through… read more here.
Keywords: time; control; optimal control; inverse optimal ... See more keywords