Scalable multi-output label prediction: From classifier chains to classifier trellises

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Scalable multi-output label prediction: From classifier chains to classifier trellises

Multi-output inference tasks, such as multi-label classification, have become increasingly important in recent years. A popular method for multi-label classification is classifier chains, in which the predictions of individual classifiers are cascaded along a chain, thus taking into account inter-label dependencies and improving the overall performance. Several varieties of classifier chain met...

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ژورنال

عنوان ژورنال: Pattern Recognition

سال: 2015

ISSN: 0031-3203

DOI: 10.1016/j.patcog.2015.01.004