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In multiple instance learning (MIL) setting, instances are grouped together in different labeled bags and the classifier tries to learn the label of unknown bags or instances. This is significantly different from traditional supervised learning techniques where the instances are labeled itself. In this work, a fuzzy based citation-kNN technique, which uses modified Hausdorff distance between bags,...
The scope and effectiveness of Rank Aggregation (RA) have already been established in contemporary bioinformatics research. Rank aggregation helps in meta-analysis of putative results collected from different analytic or experimental sources. For example, we often receive considerably differing ranked lists of genes or microRNAs from various target prediction algorithms or microarray studies. Sometimes...
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