21 citations · 100 across the 35 of their papers we have counts for
7 papers · 1 filter
Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling
David Von Dollen, Florian Neukart, Daniel Weimer +1
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,…
Expressivity of Parameterized and Data-driven Representations in Quality Diversity Search
Alexander Hagg, Sebastian Berns, Alexander Asteroth +2
We consider multi-solution optimization and generative models for the generation of diverse artifacts and the discovery of novel solutions. In cases where the domain's factors of v…
Discovering outstanding subgroup lists for numeric targets using MDL
Hugo M. Proença, Peter Grünwald, Thomas Bäck +1
The task of subgroup discovery (SD) is to find interpretable descriptions of subsets of a dataset that stand out with respect to a target attribute. To address the problem of minin…
Bayesian Neural Architecture Search using A Training-Free Performance Metric
Andrés Camero, Hao Wang, Enrique Alba +1
Recurrent neural networks (RNNs) are a powerful approach for time series prediction. However, their performance is strongly affected by their architecture and hyperparameter settin…
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
Kaifeng Yang, Michael Emmerich, André Deutz +1
In the field of multi-objective optimization algorithms, multi-objective Bayesian Global Optimization (MOBGO) is an important branch, in addition to evolutionary multi-objective op…
Automatic Configuration of Deep Neural Networks with EGO
Bas van Stein, Hao Wang, Thomas Bäck
Designing the architecture for an artificial neural network is a cumbersome task because of the numerous parameters to configure, including activation functions, layer types, and h…