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Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09867-0
Abstract: Loss functions, commonly believed to be the cost of cognitive computing, are a key element in decision-making, and three-way decisions can be regarded as a cognitive computing method that seeks to minimize the overall risks…
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Keywords:
decision models;
way decision;
loss functions;
decision ... See more keywords
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Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0337-6
Abstract: Finding an efficient approach to incrementally update and maintain frequent itemsets is an important aspect of data mining. Earlier incremental algorithms focused on reducing the number of scans of the original database while it is…
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Keywords:
mining;
three way;
frequent itemsets;
way decision ... See more keywords
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Published in 2021 at "Brain Sciences"
DOI: 10.3390/brainsci11050603
Abstract: Machine learning methods are widely used in autism spectrum disorder (ASD) diagnosis. Due to the lack of labelled ASD data, multisite data are often pooled together to expand the sample size. However, the heterogeneity that…
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Keywords:
three way;
domain adaptation;
way decision;
multisite fmri ... See more keywords
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Published in 2022 at "Entropy"
DOI: 10.3390/e24070986
Abstract: In recent years, research on applications of three-way decision (e.g., TWD) has attracted the attention of many scholars. In this paper, we combine TWD with multi-attribute decision-making (MADM). First, we utilize the essential idea of…
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Keywords:
multi attribute;
three way;
way decision;
decision ... See more keywords