Abstract: High-dimensional and weakly supervised (HiDWS) data present significant challenges for traditional machine learning and pattern recognition. Although semi-supervised feature selection has ...
Abstract: Multi-label classification is an emerging research area that aims to assign multiple class labels to each object or instance. In the era of big data, numerous multi-label problems, such as ...