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The Statistical Analysis Unit for Random Forests
The Statistical Analysis Unit for Random Forests – We evaluate the effectiveness of a novel deep learning (DNN) architecture, called Deep Network-Aware, on predicting the next $N$ steps from a random forest, without using a pre-trained model. We show that the underlying strategy of our DNN works well: it effectively predicts the next $N$ steps, […]