The eighth annual MLSP competition: Overview

Ken Montanez, Weifeng Liu, Vince D. Calhoun, Catherine Huang, Kenneth E. Hild

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2012 IEEE International Workshop on Machine Learning for Signal Processing - Proceedings of MLSP 2012
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 22nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2012 - Santander, Spain
Duration: Sep 23 2012Sep 26 2012

Publication series

NameIEEE International Workshop on Machine Learning for Signal Processing, MLSP
ISSN (Print)2161-0363
ISSN (Electronic)2161-0371

Other

Other2012 22nd IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2012
Country/TerritorySpain
CitySantander
Period9/23/129/26/12

Keywords

  • Competition
  • automatic access provisioning
  • collaborative filtering
  • machine learning
  • recommender systems

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing

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