Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification

arXiv:2207.09237v2 Announce Type: replace
Abstract: Semi-supervised learning (SSL) is a common approach to learning predictive models using not only labeled examples, but also unlabeled examples. While SSL for the simple tasks of classification and regression has received a lot of attention from the research community, this is not properly investigated for complex prediction tasks with structurally dependent variables. This is the case of multi-label classification and hierarchical multi-label classification tasks, which may require additional information, possibly coming from the underlying …

abstract arxiv attention classification clustering community cs.ai cs.lg examples hierarchical predictive predictive models regression research research community semi-supervised semi-supervised learning simple ssl supervised learning tasks trees type