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Named entity recognition using GPT for identifying comparable companies
For both public and private firms, comparable companies' analysis is widely used as a method for company valuation.
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
However, given that there is a potential physical relationship between sunspots and the magnetic field, we employ another machine learning technique called transfer learning which has recently received considerable attention in the literature.
Optimal Neural Network Feature Selection for Spatial-Temporal Forecasting
In this paper, we show empirical evidence on how to construct the optimal feature selection or input representation used by the input layer of a feedforward neural network for the propose of forecasting spatial-temporal signals.
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