Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
Abstract: The etch bias indicating the differences of the pattern critical dimensions (CD) after developing inspection (ADI) and after etching inspection (AEI) are always measured and compensated to ...
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