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Given samples of a finite-dimensional differentiable manifolds, but not know any of the manifold's geometry or topology. Although there are various algorithms to implement manifold learning task, the crucial issue of dependence of generalization error on the number examples is still very poorly understood. In this paper, we consider a transduction manifold learning algorithm and give some error analysis...
Semi-supervised learning has been of growing interest over the past few years. Although there are various algorithms to implement semi-supervised learning task, the crucial issue of dependence of generalization error on the number of labeled and unlabeled examples is still very poorly understood. In this paper, we consider a regularization graph-based semi-supervised learning algorithm and give some...
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