论文标题
多标签排名中的持怀疑态度推断，具有一组概率
Skeptical inferences in multi-label ranking with sets of probabilities
论文作者
论文摘要
在本文中，我们考虑了对多标签排名问题进行怀疑推论的问题。我们假设我们的不确定性是由一组概率集（即信用集）描述的，该概率在标签集上定义。因此，我们没有学习单身预测（或在标签上完整的排名），而是根据包括完整排名的设定值预测来寻求怀疑的推论。
In this paper, we consider the problem of making skeptical inferences for the multi-label ranking problem. We assume that our uncertainty is described by a convex set of probabilities (i.e. a credal set), defined over the set of labels. Instead of learning a singleton prediction (or, a completed ranking over the labels), we thus seek for skeptical inferences in terms of set-valued predictions consisting of completed rankings.
