论文标题
两个工具包的故事，报告第三个：有关Hive-Cote v1.0的使用和性能
A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0
论文作者
论文摘要
基于转型的合奏（Hive-cote）的分层投票是时间序列分类的异质元合奏。自从2016年首次提议以来，该算法经历了一些较小的更改，现在有一个可配置的，可扩展的且易于使用的版本。我们概述了最新的稳定蜂巢仪，版本1.0，并描述其与原始的不同。我们提供了如何使用分类器的演练指南，并对其预测性能和资源使用情况进行广泛的实验评估。我们将Hive-cote的性能与使用AEON工具包的三种算法进行了比较。
The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE-COTE) is a heterogeneous meta ensemble for time series classification. Since it was first proposed in 2016, the algorithm has undergone some minor changes and there is now a configurable, scalable and easy to use version available in two open source repositories. We present an overview of the latest stable HIVE-COTE, version 1.0, and describe how it differs to the original. We provide a walkthrough guide of how to use the classifier, and conduct extensive experimental evaluation of its predictive performance and resource usage. We compare the performance of HIVE-COTE to three recently proposed algorithms using the aeon toolkit.
