• DocumentCode
    2172894
  • 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
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning for Signal Processing (MLSP), 2012 IEEE International Workshop on
  • Conference_Location
    Santander
  • ISSN
    1551-2541
  • Print_ISBN
    978-1-4673-1024-6
  • Electronic_ISBN
    1551-2541
  • Type

    conf

  • DOI
    10.1109/MLSP.2012.6349769
  • Filename
    6349769