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Transductive Learning

In this setting, both a labeled training sample and an (unlabeled) test sample are provided at training time. The goal is to predict only the labels of the given test instances as accurately as possible.

Papers

Showing 131135 of 135 papers

TitleStatusHype
Computationally Efficient Regression on a Dependency Graph for Human Pose Estimation0
Selective Transfer Machine for Personalized Facial Action Unit Detection0
Document and Corpus Level Inference For Unsupervised and Transductive Learning of Information Structure of Scientific Documents0
Relax and Randomize : From Value to Algorithms0
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification0
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