UCR时间序列数据集是时间序列挖掘领域的核心资源，由多个样本组成，每个样本附有类别标签。此数据集在2018年版官网提供，包含128个数据集，用户可直接下载。访问官网首页，点击红框2下载按钮即可获取数据集。下载后，数据集被分割为训练集与测试集，以Train和Test标识。Class指示数据集的类别数量，Length为样...
Class代表了这个数据集包含了几类，Length代表了数据集样本的长度（每个数据集中所有序列都是等长的）。
Welcome to the UCR Time Series Classification/Clustering Pagewww.cs.ucr.edu/~eamonn/time_series...
The Echo state network (ESN) is an efficient recurrent neural network that has achieved good results in time series prediction tasks. Still, its applicatio
内容提示: The UEA multivariate time series classif i cationarchive, 2018Anthony Bagnall Hoang Anh Dau Jason LinesMichael Flynn James Large Aaron BostromPaul Southam Eamonn KeoghOctober 20181 IntroductionIn 2002, the UCR time series classif i cation archive was f i rst released with six-teen ...
Most methods for time series classification that attain state-of-the-art accuracy have high computational complexity, requiring significant training time even for smaller datasets, and are intractable for larger datasets. Additionally, many existing methods focus on a single type of feature such as sha...
In 2002, the UCR time series classification archive was first released with sixteen datasets. It gradually expanded, until 2015 when it increased in size from 45 datasets to 85 datasets. In October 2018 more datasets were added, bringing the total to 128. The new archive contains a wide range...
[3]The Great Time Series Classification Bake Off: An Experimental Evaluation of Recently Proposed Algorithms. Extended Version [4]HIVE-COTE: The Hierarchical Vote Collective of Transformation-based Ensembles for Time Series Classification [5]UCR Time Series Classification Archive ...
Experimental results on the UCR time-series classification archive demonstrate competitive accuracy of the proposed approach, compared not only to the existing deep architectures, but also to the state-of-the art TSC algorithms. 展开 DOI: 10.48550/arXiv.1710.00886 被引量: 9 ...
UCR time series classification archive. Results _JR表示joint-label learning,_SR表示single-label learning。 Statistical results of ResNet JL and 6 classifiers on 85 UCR datasets. Macro-F1 score on four imbalance datasets The visualizations with t-SNE on the Wine dataset (left) and CinC_EGG_torso...