Now showing items 1-3 of 3

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      Analysis of the Complexity of the Automatic Pipeline Generation Problem 

      Garciarena Hualde, Unai ORCID; Mendiburu Alberro, Alexander; Santana Hermida, Roberto ORCID (IEEE, 2018-10-04)
      Strategies to automatize the selection of Machine Learning algorithms and their parameters have gained popularity in recent years, to the point of coining the term Automated Machine Learning. The most general version of ...
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      Expanding variational autoencoders for learning and exploiting latent representations in search distributions 

      Garciarena Hualde, Unai ORCID; Mendiburu Alberro, Alexander; Santana Hermida, Roberto ORCID (ACM, 2018-07-02)
      In the past, evolutionary algorithms (EAs) that use probabilistic modeling of the best solutions incorporated latent or hidden variables to the models as a more accurate way to represent the search distributions. Recently, ...
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      Multi-Start Methods 

      Marti, Rafael; Lozano Alonso, José Antonio; Mendiburu Alberro, Alexander; Hernando Rodríguez, Leticia ORCID (Springer, 2018-08-27)
      [EN]Multi-start procedures were originally conceived as a way to exploit a local or neighborhood search procedure, by simply applying it from multiple random initial solutions. Modern multi-start methods usually incorporate ...