New algorithm revolutionizes data analysis by adapting to continuous changes
The article introduces a new method for adjusting the number of important features in a neural network as data streams in. This method helps reduce the amount of computation needed while still capturing the most important information in the data. The researchers found that their approach outperformed other existing methods in terms of efficiency and accuracy.
