尽管HIVE-COTE 2.0比MultiRocket在109个数据集中获得59个胜利,但HIVE-COTE 2.0和MultiRocket之间的准确度差异在±5%以内,如图6a所示,这表明这两种方法之间的差异相对较小。另一方面,如图6b所示,尽管MultiRocket赢得了更多的胜利,但MultiRocket和InceptionTime彼此之间没有显著差异。例如,MultiRocket对SemgHandMovementCh2数据...
基于MultiRocket的配电网基频铁磁谐振过电压和弧光接地过电压识别方法.pdf,摘要摘要 配电网过电压的产生会损害输电线路及电气设备绝缘,进而影响配电网安 全运行。内部过电压中的铁磁谐振与弧光接地过电压危害更为严重,会危及电 气设备绝缘,甚至造成设备损坏。且这两类
We propose MultiRocket, a fast time series classification (TSC) algorithm that achieves state-of-the-art performance with a tiny fraction of the time and without the complex ensembling structure of many state-of-the-art methods. MultiRocket improves on MiniRocket, one of the fastest TSC ...
我们称此方法为 MultiRocket。 与Rocket 和 MiniRocket 一样,MultiRocket 转换输入时间序列使用大量卷积核,并使用变换后的特征来训练线性分类器。MultiRocket 和 MiniRocket 或 Rocket 之间的主要区别在于从卷积输出中提取的特征。Rocket 应用 PPV(用于“正值的比例”)和全局最大池化 (Max),而 MiniRocket 仅应用 ...
MultiRocket improves on MiniRocket, one of the fastest TSC algorithms to date, by adding multiple pooling operators and transformations to improve the diversity of the features generated. In addition to processing the raw input series, MultiRocket also applies first order differences to transform the...
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We propose MultiRocket, a fast time series classification (TSC) algorithm that achieves state-of-the-art performance with a tiny fraction of the time and without the complex ensembling structure of many state-of-the-art methods. MultiRocket improves on MiniRocket, one of the fastest TSC algorit...
多通道火箭发射器 -MulTI Rocket Launcher DescripTIon This launch controller can be used with low voltage battery igniters, which fire rocket engines in model rockets such as the Estes range. These circuits are electrical, only switches and contacts are involved. First the circuit for a single rock...
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai - added Hydra and HydraMultiRocket archs · Issue #800 · timeseriesAI/tsai
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