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A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method-machine learning.

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Exploring the Hyperparameters of XGBoost Through 3D Visualizations., and . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, volume 2846 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost., and . (March 2019)Improving competitive differential evolution using automatic programming., and . ICSAI, page 538-545. IEEE, (2017)Evaluating Population Based Training on Small Datasets., and . NIK, Bibsys Open Journal Systems, Norway, (2019)A New Baseline for Automated Hyper-Parameter Optimization., and . LOD, volume 11943 of Lecture Notes in Computer Science, page 521-530. Springer, (2019)A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method-machine learning., and . (January 2019)