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
Tags:

Metadata: 
@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
Compute download stats
Related Torrents
Report
Send Feedback Start
   0.000006
DB Connect
   0.001441
Lookup hash in DB
   0.000412
Get torrent details
   0.000128
Get torrent details, finished
   0.000292
Get authors
   0.000001
Select authors
   0.000216
Parse bibtex
   0.000140
Write header
   0.000501
get stars
   0.000135
home tab
   0.000144
render right panel
   0.000005
render ads
   0.000444
fetch current hosters
   0.000247
related datasets
   0.001019
Done