Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
Robert Tibshirani and Trevor Hastie and Jerome Friedman

Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies.pdf 43.19kB
Type: Paper
Tags:

Metadata: 
@article{9:10,author={Jerome Friedman and Trevor Hastie and Robert Tibshirani}, Title={Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies},journal={Journal of Machine Learning Research},volume={9}, url={http://www.jmlr.org/papers/volume9/freund08a/freund08a.pdf}}
Citation:
Tibshirani, R., Hastie, T., & Friedman, J.. (2014). Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies [Data set]. Academic Torrents. https://academictorrents.com/details/87f561d3d72af9b20f9d0298efddb88f948591db
Compute download stats
Related Torrents
Report
Send Feedback Start
   0.000006
DB Connect
   0.000606
Lookup hash in DB
   0.000457
Get torrent details
   0.000145
Get torrent details, finished
   0.000292
Get authors
   0.000001
Select authors
   0.000274
Parse bibtex
   0.000112
Write header
   0.000263
get stars
   0.000121
home tab
   0.000121
render right panel
   0.000005
render ads
   0.000407
fetch current hosters
   0.001274
related datasets
   0.001270
Done