Apr 1, 2021 · In this paper, we propose an algorithm called WILDA (Wide Learning of Diverse Architectures) that integrates ML and Evolutionary Computation (EC) to train a ...

We propose a distributed version of a quality-diversity evolutionary algorithm (MAP-Elites) to evolve an architecturally diverse ensemble of shallow networks.

Apr 27, 2024 · We propose a distributed version of a quality-diversity evolutionary algorithm (MAP-Elites) to evolve an architecturally diverse ensemble of ...

Apr 7, 2021 · We propose a distributed version of a quality-diversity evolutionary algorithm (MAP-Elites) to evolve an architecturally diverse ensemble of shallow networks.

We propose a distributed version of a quality-diversity evolutionary algorithm (MAP-Elites) to evolve an architecturally diverse ensemble of shallow networks, ...

WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets · List of references · Publications that cite this publication.

WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. R. Cardoso, E. Hart, D. Kurka, and J. Pitt.

AUTHORS: Rui Cardoso, Emma Hart, David Kurka and Jeremy Pitt PAPER TITLE: WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets ...

WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. Presented at 24th European Conference ...

WILDA: wide learning of diverse architectures for classification of large datasets. RP Cardoso, E Hart, DB Kurka, J Pitt. Applications of Evolutionary ...