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An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset

机译：一种高效的视频预测经常性网络，使用焦损和不平衡数据集进行分解的张力列车

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Mingshuo Liu; Kevin Han; Shiyi Luo; Mingze Pan; Mousam Hossain; Bo Yuan; Ronald F. DeMara; Yu Bai;
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年度 2021
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1. Accurate Ab Initio and Template-Based Prediction of Short Intrinsically-Disordered Regions by Bidirectional Recurrent Neural Networks Trained on Large-Scale Datasets [J] . Badr Alshomrani, Gianluca Pollastri, Lukasz Kurgan, International Journal of Molecular Sciences . 2015,第8期

机译：通过大规模数据集上训练的双向递归神经网络，准确地计算从头算和基于模板的短内在无序区域
2. Tensor-Train Recurrent Neural Networks for Video Classification [J] . Yinchong Yang, Denis Krompass, Volker Tresp JMLR: Workshop and Conference Proceedings . 2017,第1期

机译：用于视频分类的Tensor-Train递归神经网络
3. TTH-RNN: Tensor-Train Hierarchical Recurrent Neural Network for Video Summarization [J] . Bin Zhao, Xuelong Li, Xiaoqiang Lu Industrial Electronics, IEEE Transactions on . 2021,第4期

机译：Tth-RNN：视频汇总的张力列车分级性神经网络
4. Tensor-Train Recurrent Neural Networks for Video Classification [C] . Yinchong Yang, Denis Krompass, Volker Tresp International Conference on Machine Learning . 2018

机译：视频分类的张力列车经常性神经网络
5. Active learning with support vector machines for imbalanced datasets and a method for stopping active learning based on stabilizing predictions. [D] . Bloodgood, Michael. 2009

机译：支持向量机用于不平衡数据集的主动学习，以及一种基于稳定预测的主动学习停止方法。
6. Accurate Ab Initio and Template-Based Prediction of Short Intrinsically-Disordered Regions by Bidirectional Recurrent Neural Networks Trained on Large-Scale Datasets [O] . Viola Volpato, Badr Alshomrani, Gianluca Pollastri 2015

机译：通过大规模数据集上训练的双向递归神经网络准确地计算从头算和基于模板的短内在无序区域
7. Accurate Ab Initio and Template-Based Prediction of Short Intrinsically-Disordered Regions by Bidirectional Recurrent Neural Networks Trained on Large-Scale Datasets [O] . Viola Volpato, Badr Alshomrani, Gianluca Pollastri 2015

机译：基于大规模数据集的双向递归神经网络对短的本征无序区域进行精确的从头算和基于模板的预测

An Efficient Video Prediction Recurrent Network using Focal Loss and Decomposed Tensor Train for Imbalance Dataset

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