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On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts, , и . Advances in Neural Information Processing Systems 19, MIT Press, Cambridge, MA, (2007)Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, и . Neural Computation, (2002)Multiple Descent: Design Your Own Generalization Curve, , , и . (2020)cite arxiv:2008.01036.More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory., , , и . CoRR, (2023)Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting., , , , , и . CoRR, (2022)Discrete laplace operator on meshed surfaces., , и . SCG, стр. 278-287. ACM, (2008)On the linearity of large non-linear models: when and why the tangent kernel is constant., , и . NeurIPS, (2020)Evaluation of Neural Architectures trained with square Loss vs Cross-Entropy in Classification Tasks., и . ICLR, OpenReview.net, (2021)Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices., , , , и . ICDCS, стр. 11-20. IEEE Computer Society, (2015)The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures., , , , и . COLT, том 35 из JMLR Workshop and Conference Proceedings, стр. 1135-1164. JMLR.org, (2014)