nmsu_yhao_ijcai2020:这是我们的出版物“对多元时间序列进行分类的新注意机制”的GitHub存储库，作者是郝一凡...
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2021-05-23
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nmsu_yhao_ijcai2020-master.zip （66个子文件） 
nmsu_yhao_ijcai2020-master log ges fcn_classification 
ges_train_0_fcn_classification_act3_acc_attention0_conv3.log_2019_12_29_16_42.log 45KB src fcn_ca_main.py 6KB utils cnn_classification.py 5KB nn_classification.py 5KB sklearn_classification.py 39KB classification_results.py 8KB log_postprocessing.py 7KB fileio data_processing.py 16KB data_io.py 15KB backward_forward_log_process.py 4KB parameter_proc.py 53KB log_io.py 2KB data_checking.py 5KB __init__.py 0B object_io.py 3KB log_acc_time.py 4KB load_model cnn_load.py 26KB __init__.py 0B data_processing data_processing.py 16KB approximate_cnn.py 14KB ucrdata_processing.py 5KB __init__.py 0B iwb_processing.py 4KB generate_daily_sport_dataset.py 2KB data_normalization.py 5KB plot.py 318B mts_sa main.py 4KB tensor_model model_setting.py 12KB model_nn.py 12KB ops.py 7KB __init__.py 0B model_cnn.py 40KB cross_attn.py 15KB example_cnn.py 7KB README.md 3KB parameters 
all_feature_classification_hts.txt 285B cnn_model_parameter_conv5.txt 277B all_feature_classification_atn.txt 286B cnn_model_parameter_conv1.txt 221B all_feature_classification_act.txt 286B all_feature_classification_ges.txt 284B all_feature_classification_har.txt 283B all_feature_classification_ara.txt 284B all_feature_classification_eeg2.txt 286B all_feature_classification_net.txt 283B all_feature_classification_jvo.txt 283B all_feature_classification_ohc.txt 285B cnn_model_parameter.txt 452B all_feature_classification_ozo.txt 284B all_feature_classification_dsp.txt 285B all_feature_classification_aus.txt 283B all_feature_classification_eeg.txt 300B data aus test.txt 39.51MB train.txt 30.27MB hts test.txt 54.79MB train.txt 56.03MB net test.txt 15.83MB train.txt 23.44MB ozo test.txt 16.59MB train.txt 16.15MB ges test.txt 15.76MB train.txt 15.76MB eeg test.txt 1.94MB train.txt 1.94MB jvo test.txt 1.46MB train.txt 1.09MB资源评论
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