The eighth annual MLSP competition: Second place team

H. Huttunen, Timo Erkkilä, P. Ruusuvuori, T. Manninen
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引用次数: 1

Abstract

This paper describes our submission to the eighth annual MLSP competition organized by Amazon during the 2012 IEEE MLSP workshop. Our approach is based on a nearest-neighbor-like classifier with a distance metric learned from samples. The method was second in the final standings with prediction accuracy of 81 %, while the winning submission was 87 % accurate.
第八届MLSP年度大赛:第二名
本文描述了我们在2012年IEEE MLSP研讨会期间向亚马逊组织的第八届年度MLSP竞赛提交的内容。我们的方法是基于从样本中学习到的距离度量的最近邻分类器。该方法在最终排名中排名第二,预测准确率为81%,而获胜提交的准确率为87%。
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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