File: CITATION

package info (click to toggle)
xgboost 3.0.4-1
  • links: PTS, VCS
  • area: main
  • in suites: sid
  • size: 13,848 kB
  • sloc: cpp: 67,603; python: 35,537; java: 4,676; ansic: 1,426; sh: 1,352; xml: 1,226; makefile: 204; javascript: 19
file content (17 lines) | stat: -rw-r--r-- 619 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
@inproceedings{Chen:2016:XST:2939672.2939785,
 author = {Chen, Tianqi and Guestrin, Carlos},
 title = {{XGBoost}: A Scalable Tree Boosting System},
 booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
 series = {KDD '16},
 year = {2016},
 isbn = {978-1-4503-4232-2},
 location = {San Francisco, California, USA},
 pages = {785--794},
 numpages = {10},
 url = {http://doi.acm.org/10.1145/2939672.2939785},
 doi = {10.1145/2939672.2939785},
 acmid = {2939785},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {large-scale machine learning},
}