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Learning with Privileged Information for Multi-Label Classification
In this paper, we propose a novel approach for learning multi-label classifiers with the help of privileged information.
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning
The idea is to collectively completes the kernel matrices of incomplete datasets by optimizing the alignment of the shared instances of the datasets.
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