Predicting drug side effects by multi-label learning and ensemble learning
نویسندگان
چکیده
منابع مشابه
Multi-label Ensemble Learning
Multi-label learning aims at predicting potentially multiple labels for a given instance. Conventional multi-label learning approaches focus on exploiting the label correlations to improve the accuracy of the learner by building an individual multi-label learner or a combined learner based upon a group of single-label learners. However, the generalization ability of such individual learner can ...
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ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2015
ISSN: 1471-2105
DOI: 10.1186/s12859-015-0774-y