Search Results for author: Daniel Weimer

Found 2 papers, 0 papers with code

Quantum-Enhanced Selection Operators for Evolutionary Algorithms

no code implementations21 Jun 2022 David Von Dollen, Sheir Yarkoni, Daniel Weimer, Florian Neukart, Thomas Bäck

We benchmark these quantum-enhanced algorithms against classical algorithms over various black-box objective functions, including the OneMax function, and functions from the IOHProfiler library for black-box optimization.

Evolutionary Algorithms

Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling

no code implementations8 Apr 2021 David Von Dollen, Florian Neukart, Daniel Weimer, Thomas Bäck

Within machine learning model evaluation regimes, feature selection is a technique to reduce model complexity and improve model performance in regards to generalization, model fit, and accuracy of prediction.

feature selection

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