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Found 2 papers, 1 papers with code
On the Asymptotic Linear Convergence Speed of Anderson Acceleration Applied to ADMM
In this paper we explain and quantify this improvement in linear asymptotic convergence speed for the special case of a stationary version of AA applied to ADMM.
Soft Methodology for Cost-and-error Sensitive Classification
Many real-world data mining applications need varying cost for different types of classification errors and thus call for cost-sensitive classification algorithms.
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