Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
Partha Niyogi and Mikhail Belkin and Vikas Sindhwani

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples.pdf 416.15kB
Type: Paper
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@article{7:85,author={Mikhail Belkin and Partha Niyogi and Vikas Sindhwani}, Title={Manifold  Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples},journal={Journal of Machine Learning Research},volume={7}, url={http://www.jmlr.org/papers/volume7/belkin06a/belkin06a.pdf}}
Citation:
Niyogi, P., Belkin, M., & Sindhwani, V.. (2014). Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples [Data set]. Academic Torrents. https://academictorrents.com/details/f3a3b1a97bd8fdb762685f05318b822e295fa059

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