Scalable Neuroevolution of Ensemble Learners
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Together with Marcel Merten, I presented our work Scalable Neuroevolution of Ensemble Learners as a Group of Computer Architecture Talk at University of Bremen. In the context of evolutionary optimization, it addresses one of its main issues: lack of scalability. To this end – based on ALF – a framework was developed to heavily orchestrate genetic recombination for neural network combinations to effectively find suitable solutions. Moreover, ensemble learning methods restrict the search space. In a divide-and-conquer manner, the framework allows handling of large-scale machine learning problems.