论文标题
多获奖者批准投票被认识
Multi-winner Approval Voting Goes Epistemic
论文作者
论文摘要
认知投票将投票解释为关于地面真理的嘈杂信号。我们考虑真相由一组客观赢家组成的环境，知道其基数的下部和上限。对于这种设置的一个典型问题是多标签注释的聚集，对地面真理的大小进行了先验知识。我们假设NoiseModels为其定义输出最佳获奖者的规则。我们报告了有关多标签注释的实验（我们收集的）。
Epistemic voting interprets votes as noisy signals about a ground truth. We consider contexts where the truth consists of a set of objective winners, knowing a lower and upper bound on its cardinality. A prototypical problem for this setting is the aggre-gation of multi-label annotations with prior knowledge on the size of the ground truth. We posit noisemodels, for which we define rules that output an optimal set of winners. We report on experiments on multi-label annotations (which we collected).
