SOTAVerified

Time Series Prediction

The goal of Time Series Prediction is to infer the future values of a time series from the past.

Source: Orthogonal Echo State Networks and stochastic evaluations of likelihoods

Papers

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Showing 321–330 of 477 papers

TitleStatusHype
Continuous Ant-Based Neural Topology Search—0
Distributed Online Learning with Multiple Kernels—0
ATCN: Resource-Efficient Processing of Time Series on EdgeCode0
Time Series Forecasting with Stacked Long Short-Term Memory Networks—0
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment—0
Deep Reinforcement Learning for Asset Allocation in US Equities—0
Active Tuning—0
Cloud Cover Nowcasting with Deep Learning—0
Subjective Metrics-based Cloud Market Performance Prediction—0
An analysis of deep neural networks for predicting trends in time series data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CMU-DEMAverage mean absolute error9.06—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTMRMSE0—Unverified