论文标题
结构化预测问题档案
Structured Prediction Problem Archive
论文作者
论文摘要
结构化预测问题是机器学习中的基本工具之一。为了促进其数值解决方案的算法开发，我们在一个地方收集了大量的数据集，易于阅读的格式，以提供各种问题类别。我们提供了指向数据集的档案链接，所考虑的问题和问题格式的描述以及问题特征，包括大小，实例数量等的简短摘要。参考，我们还为文献中提出的解决方案提出的算法选择了非排量选择。我们希望这个中央存储库能使基准测试和比较与既定作品更容易。我们欢迎提交有趣的新数据集和算法以包含在我们的档案中。
Structured prediction problems are one of the fundamental tools in machine learning. In order to facilitate algorithm development for their numerical solution, we collect in one place a large number of datasets in easy to read formats for a diverse set of problem classes. We provide archival links to datasets, description of the considered problems and problem formats, and a short summary of problem characteristics including size, number of instances etc. For reference we also give a non-exhaustive selection of algorithms proposed in the literature for their solution. We hope that this central repository will make benchmarking and comparison to established works easier. We welcome submission of interesting new datasets and algorithms for inclusion in our archive.
