The randomized information coefficient: assessing dependencies in noisy data
نویسندگان
چکیده
منابع مشابه
A method to solve the problem of missing data, outlier data and noisy data in order to improve the performance of human and information interaction
Abstract Purpose: Errors in data collection and failure to pay attention to data that are noisy in the collection process for any reason cause problems in data-based analysis and, as a result, wrong decision-making. Therefore, solving the problem of missing or noisy data before processing and analysis is of vital importance in analytical systems. The purpose of this paper is to provide a metho...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2017
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-017-5664-2