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Uncertainty Principle based optimization; new metaheuristics framework
In the branch of quantum mechanics, canonically conjugate observables such as position and momentum cannot both be distinctly determined in any quantum state.
Modified swarm-based metaheuristics enhance Gradient Descent initialization performance: Application for EEG spatial filtering
Gradient Descent (GD) approximators often fail in the solution space with multiple scales of convexities, i. e., in subspace learning and neural network scenarios.
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