HyperAI超神経

ホームニュース最新論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

サイトについて

日本語

HyperAI超神経

Time Series Classification On Wafer

評価指標

Accuracy

NLL

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	Accuracy	NLL	Paper Title	Repository
GP-LSTM	0.966	0.105	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
MALSTM-FCN	0.99	-	Multivariate LSTM-FCNs for Time Series Classification
SNLST	0.981	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-GRU	0.994	0.029	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig-GRU	0.978	0.081	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig	0.965	0.105	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-KConv1D	0.984	0.085	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
FCN-SNLST	0.989	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-Sig-LSTM	0.988	0.048	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
R_DST_Ensemble	0.9999513303049968	-	Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets

0 of 10 row(s) selected.