Title :
The eighth annual MLSP competition: Overview
Author :
Montanez, Ken ; Liu, Weifeng ; Calhoun, Vince D. ; Huang, Catherine ; Hild, Kenneth E., II
Author_Institution :
Amazon Corp., USA
Abstract :
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.
Keywords :
authorisation; business data processing; collaborative filtering; data analysis; learning (artificial intelligence); recommender systems; signal processing; Amazon Corporation; Machine Learning for Signal Processing Technical Committee; annual MLSP workshop; automatic access provisioning; collaborative filtering; company resources; conference proceedings; data analysis competition; disjoint test data; eighth annual MLSP competition; employee access; real training data; recommender systems; Companies; Conferences; Error analysis; Machine learning; Manuals; Signal processing; Signal processing algorithms; Competition; automatic access provisioning; collaborative filtering; machine learning; recommender systems;
Conference_Titel :
Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on
Conference_Location :
Santander
Print_ISBN :
978-1-4673-1024-6
Electronic_ISBN :
1551-2541
DOI :
10.1109/MLSP.2012.6349769
