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Titlebook: Optimization and Learning; Third International Bernabé Dorronsoro,Patricia Ruiz,El-Ghazali Talbi Conference proceedings 2020 Springer Natu

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Automatic Structural Search for Multi-task Learning VALPsd built on the operators. The results obtained from the experiments carried out in this work indicate that the modifiers can indeed form part of intelligent searches over the space of VALP structures, which encourages more research in this direction.
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Learning Variables Structure Using Evolutionary Algorithms to Improve Predictive Performance the proposed approach, called ., considerably outperformed . and performed as well as . in high dimensional settings, with the added benefit of learning the variables grouping structure from data instead of requiring this information a priory before estimating the model.
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Intelligent Electric Drive Management for Plug-in Hybrid Busesnd do not consider traffic conditions. In this article, we propose a novel recommendation system, based on artificial intelligence, that allows PH buses operating efficiently in a dynamic environment, making the best use of the available resources so that emission- and noise-pollution levels are min
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Daniel H. Stolfi,Matthias R. Brust,Grégoire Danoy,Pascal Bouvryn software and hardware. It is the goal of value-based software engineering (VBSE) to develop models and measures of value which are of use for managers, developers and users as they make tradeoff decisions between, for example, quality and cost or functionality and schedule – such decisions must be
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