HyperAI超神经
首页
资讯
最新论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
中文
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
首页
SOTA
Time Series Classification
Time Series Classification On Japanesevowels
Time Series Classification On Japanesevowels
评估指标
Accuracy
NLL
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
NLL
Paper Title
Repository
GP-Sig-LSTM
0.981
0.080
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig
0.982
0.069
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-KConv1D
0.986
0.067
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-LSTM
0.982
0.061
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig-GRU
0.985
0.053
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-GRU
0.986
0.052
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
MALSTM-FCN
0.99
-
Multivariate LSTM-FCNs for Time Series Classification
SNLST
0.979
-
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
FCN-SNLST
0.980
-
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
ConvTran
0.9891
-
Improving Position Encoding of Transformers for Multivariate Time Series Classification
0 of 10 row(s) selected.
Previous
Next