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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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Time Series Classification On Uwave

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Accuracy

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
Accuracy
Paper TitleRepository
SNLST0.938Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-GRU0.763Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
FCN-SNLST0.969Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-LSTM0.870Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
MALSTM-FCN0.98Multivariate LSTM-FCNs for Time Series Classification
GP-KConv1D0.947Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig0.964Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig-GRU0.968Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
TSEM0.831TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series
GP-Sig-LSTM0.970Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
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