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Found 2 papers, 2 papers with code
Multi-task Meta Label Correction for Time Series Prediction
To address the above issues, we create a label correction method to time series data with meta-learning under a multi-task framework.
Neural network stochastic differential equation models with applications to financial data forecasting
In this article, we employ a collection of stochastic differential equations with drift and diffusion coefficients approximated by neural networks to predict the trend of chaotic time series which has big jump properties.
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