TY - GEN
T1 - The eighth annual MLSP competition
T2 - 2012 22nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2012
AU - Montanez, Ken
AU - Liu, Weifeng
AU - Calhoun, Vince D.
AU - Huang, Catherine
AU - Hild, Kenneth E.
PY - 2012
Y1 - 2012
N2 - This marks the eighth year the Machine Learning for Signal Processing (MLSP) Technical Committee has hosted a data analysis competition, which is held in conjunction with the annual MLSP workshop. For this year's competition, which was sponsored by Amazon Corporation, entrants were asked to write an algorithm that attempts to automatically provision an employee's access to company resources in an optimal manner. In this paper, we (the organizers of the competition) briefly describe the application, the data, the rules, and the outcomes of the competition. A total of 4 teams entered the contest. We provided real (declassified) training data to the entrants and tested the algorithms using disjoint test data. The two teams with the best performing entries describe the approach they used in two separate companion papers, both of which appear in this year's conference proceedings.
AB - This marks the eighth year the Machine Learning for Signal Processing (MLSP) Technical Committee has hosted a data analysis competition, which is held in conjunction with the annual MLSP workshop. For this year's competition, which was sponsored by Amazon Corporation, entrants were asked to write an algorithm that attempts to automatically provision an employee's access to company resources in an optimal manner. In this paper, we (the organizers of the competition) briefly describe the application, the data, the rules, and the outcomes of the competition. A total of 4 teams entered the contest. We provided real (declassified) training data to the entrants and tested the algorithms using disjoint test data. The two teams with the best performing entries describe the approach they used in two separate companion papers, both of which appear in this year's conference proceedings.
KW - Competition
KW - automatic access provisioning
KW - collaborative filtering
KW - machine learning
KW - recommender systems
UR - http://www.scopus.com/inward/record.url?scp=84870671556&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84870671556&partnerID=8YFLogxK
U2 - 10.1109/MLSP.2012.6349769
DO - 10.1109/MLSP.2012.6349769
M3 - Conference contribution
AN - SCOPUS:84870671556
SN - 9781467310260
T3 - IEEE International Workshop on Machine Learning for Signal Processing, MLSP
BT - 2012 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2012
Y2 - 23 September 2012 through 26 September 2012
ER -