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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.039
Abstract: Abstract In many real-world problems, data samples are simultaneously associated with multiple labels, instead of a single label. Multi-label classification deals with such problems, and has extensive applications in many fields. Among the many methods…
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Keywords:
classification;
multi label;
classifier chains;
conditional entropy ... See more keywords
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Published in 2017 at "BMC Bioinformatics"
DOI: 10.1186/s12859-017-1783-9
Abstract: BackgroundMulti-label classification has recently gained great attention in diverse fields of research, e.g., in biomedical application such as protein function prediction or drug resistance testing in HIV. In this context, the concept of Classifier Chains…
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Keywords:
ensemble classifier;
graphics processing;
classifier;
ecccl parallelized ... See more keywords