Archives/papers-we-love_papers-we-love
1
0
Fork 0
mirror of https://github.com/papers-we-love/papers-we-love.git synced 2025-06-13 12:54:28 +00:00
Code Issues Projects Releases Wiki Activity

Merge pull request #331 from kv-kunalvyas/master

Browse Source 
Added Applications of Machine Learning to Location Data
This commit is contained in:
Zeeshan Lakhani 2015-09-15 10:56:43 -04:00
commit a69884b9a0
1 changed files with 2 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
machine_learning/README.md
View File

@ -13,6 +13,8 @@
*Ailon, Nir, and Bernard Chazelle. "The fast Johnson-Lindenstrauss transform and approximate nearest neighbors." SIAM Journal on Computing 39.1 (2009): 302-322. Available: https://www.cs.princeton.edu/~chazelle/pubs/FJLT-sicomp09.pdf* *Ailon, Nir, and Bernard Chazelle. "The fast Johnson-Lindenstrauss transform and approximate nearest neighbors." SIAM Journal on Computing 39.1 (2009): 302-322. Available: https://www.cs.princeton.edu/~chazelle/pubs/FJLT-sicomp09.pdf*
* [Applications of Machine Learning to Location Data](ftp://ftp.cs.princeton.edu/techreports/2013/949.pdf) - Using machine learning to design and analyze novel algorithms that leverage location data.
## Hosted Papers ## Hosted Papers
* :scroll: **[A Sparse Johnson-Lindenstrauss Transform](https://github.com/papers-we-love/papers-we-love/blob/master/machine_learning/dimensionality_reduction/a-sparse-johnson-lindenstrauss-transform.pdf)** * :scroll: **[A Sparse Johnson-Lindenstrauss Transform](https://github.com/papers-we-love/papers-we-love/blob/master/machine_learning/dimensionality_reduction/a-sparse-johnson-lindenstrauss-transform.pdf)**