The eighth annual MLSP competition: Overview

Ken Montanez, Weifeng Liu, V. Calhoun, Catherine Huang, K. Hild
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引用次数: 10

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.
第八届年度MLSP竞赛:概述
这是信号处理机器学习(MLSP)技术委员会第八年举办数据分析竞赛,该竞赛与年度MLSP研讨会一起举行。今年的竞赛由亚马逊公司赞助,参赛者被要求编写一种算法,试图以最佳方式自动为员工提供对公司资源的访问权限。在本文中,我们(比赛的组织者)简要介绍了比赛的应用、数据、规则和结果。共有4支队伍参加了比赛。我们为参赛者提供了真实的(解密的)训练数据,并使用不相交的测试数据测试了算法。表现最好的两个团队在两篇独立的论文中描述了他们使用的方法,这两篇论文都出现在今年的会议论文集中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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