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Found 2 papers, 2 papers with code
Adaptive Covariate Acquisition for Minimizing Total Cost of Classification
Assuming that the cost of each covariate, and the cost of misclassification can be specified by the user, our goal is to minimize the (expected) total cost of classification, i. e. the cost of misclassification plus the cost of the acquired covariates.
Convex Covariate Clustering for Classification
Clustering, like covariate selection for classification, is an important step to compress and interpret the data.
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