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Updated: Jun 12, 2025

Cross-Modal Multivariate Pattern Analysis
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Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

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在使用多式联络数据的监督学习中进行算法无意识的显著性测试.

Lucas Kook1, Anton Rask Lundborg2

  • 1Institute for Statistics and Mathematics, Vienna University of Economics and Business, Welthandelsplatz 1, AT-1020 Vienna, Austria.

Briefings in bioinformatics
|September 26, 2024
PubMed
概括

协差量测试 (COMETs) 允许对多式联运数据进行强大的统计推断,即使使用黑子算法. 这些强大的测试可以识别重要的变量,并选择数据模式,以改善复杂的生物和临床研究中的预测建模.

关键词:
有条件的独立性 有条件的独立性一般化协同差异衡量措施预计的共同差异措施.多式联运数据是多式联运数据.在显著性测试中.

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