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Found 2 papers, 2 papers with code
Decentralized Kernel Ridge Regression Based on Data-dependent Random Feature
Random feature (RF) has been widely used for node consistency in decentralized kernel ridge regression (KRR).
Data Imputation by Pursuing Better Classification: A Supervised Kernel-Based Method
In this paper, we propose a new framework that effectively leverages supervision information to complete missing data in a manner conducive to classification.
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