الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Time Series Classification On Wafer

المقاييس

Accuracy

NLL

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	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	-

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Time Series Classification On Wafer | SOTA | HyperAI