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Learning From A Mixture Of Labeled And Unlabeled Examples With Parametric Side Information

机译：从参数化侧信息的标记和未标记示例的混合中学习

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Joel Ratsaby And; Joel Ratsaby; Santosh S. Venkatesht;
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年度 1995
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2. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples [J] . Belkin Mikhail, Niyogi Partha, Sindhwani Vikas Journal of machine learning research . 2006,第Nov期

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3. NONPARALLEL HYPERPLANES PROXIMAL CLASSIFIERS BASED ON MANIFOLD REGULARIZATION FOR LABELED AND UNLABELED EXAMPLES [J] . ZHI-XIA YANG International Journal of Pattern Recognition and Artificial Intelligence . 2013,第5期

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4. Learning from a mixture of labeled and unlabeled examples with parametric side information [C] . Joel Ratsaby, Santosh S. Venkatesh Conference on Computational learning theory;Annual conference on Computational learning theory . 1995

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6. ProDiGe: Prioritization Of Disease Genes with multitask machine learning from positive and unlabeled examples [O] . Fantine Mordelet, Jean-Philippe Vert 2011

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7. Learning Privately with Labeled and Unlabeled Examples [O] . Beimel, Amos, Nissim, Kobbi, Stemmer, Uri 2015

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8. Complexity of Learning from a Mixture of Labeled and Unlabeled Examples [R] . Ratsaby, J. E. 1994

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Learning From A Mixture Of Labeled And Unlabeled Examples With Parametric Side Information

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