论文标题
一种简单的机器学习方法，可以联系跟踪
A Simplistic Machine Learning Approach to Contact Tracing
论文作者
论文摘要
该报告基于SFI机器学习中心（ML-LABS）提供的修改后的NIST挑战，太近距离了。修改后的挑战不包括时间计算（太长）方面。通过手机仪器数据的手工制作功能，我们开发了两个机器学习模型，即GBM和一个MLP，以估算两台手机之间的距离。我们的方法能够超过香港科学技术大学（HKUST）的主要NIST挑战率。
This report is based on the modified NIST challenge, Too Close For Too Long, provided by the SFI Centre for Machine Learning (ML-Labs). The modified challenge excludes the time calculation (too long) aspect. By handcrafting features from phone instrumental data we develop two machine learning models, a GBM and an MLP, to estimate distance between two phones. Our method is able to outperform the leading NIST challenge result by the Hong Kong University of Science and Technology (HKUST) by a significant margin.
