… the Optimal Margin Distribution Machine (ODM), whose idea is to optimize the margin distribution
… Inspired by the theoretical work [11], we characterize the margin distribution by the first- …

… To design optimal margin distribution machine for multiclass classification, we need to … the
margin distribution. (Gao & Zhou, 2013) proved that, to characterize the margin distribution, it …

… the margin distribution. Inspired by this idea, in this paper, we first introduce margin distribution
… In this paper, we propose a method to first introduce the margin distribution to multi-label …

… and to achieve optimal margin distribution simultaneously. Specifically, we characterize the
… 2.1 Optimal margin distribution machine It is well known that SVM employs the large margin …

… such as the minimum margin, is more crucial to the generalization performance. In … distribution
machine (LDM) which tries to optimize the margin distribution by maximizing the margin …

… margin Distribution Machine for Clustering), which tries to cluster the data and achieve optimal
margin … Specifically, we characterize the margin distribution by the first- and second-order …

… To the best of our knowledge, this is the first work that introduces the margin distribution
into SMM. By optimizing the margin distribution through the MD-based loss function, ODMM …

… Although the optimal margin distribution machine (ODM) has better generalization performance
in pattern recognition than traditional classifiers, ODM as well as traditional classifiers …

… the Partial Multi-Label Optimal margin Distribution Machine (PML-ODM). To sum up, our
contributions are threefold: 1) we first introduce the powerful margin distribution into partial multi-…

… margin. Inspired by this observation, we propose the multi-instance optimal margin distribution
machine, which can identify the key instances via explicitly optimizing the margin distri…