论文标题
机器学习科学竞争和数据集
Machine Learning scientific competitions and datasets
论文作者
论文摘要
在过去的几年中，已经组织了许多科学竞争，目的是发现创新技术来执行典型的高能量物理任务，例如事件重建，分类和新的物理发现。这些竞赛中的四个总结在本章中总结了有关组织事件的指南。此外，描述了竞争平台和可用数据集的选择
A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks, like event reconstruction, classification and new physics discovery. Four of these competitions are summarised in this chapter, from which guidelines on organising such events are derived. In addition, a choice of competition platforms and available datasets are described
