Navegando Ciência da Computação - PPGCC por assunto "Machine learning"

Itens para a visualização no momento 21-23 of 23

    • Single, multi- and many-objective meta-heuristic algorithms applied to pattern recognition 

      Rodrigues, Douglas (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 10/07/2019)
      In the last few years, metaheuristic algorithms have been used for solving several problems in engineering, biology, physics, among others, since many of them can be modeled as being optimization tasks. Metaheuristic methods ...

    • Data preparation pipeline recommendation via meta-learning 

      Zagatti, Fernando Rezende (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 26/05/2021)
      Data preparation is a essential stage in the machine learning pipeline, aiming to convert noisy and disordered data into refined data compatible with the algorithms. However, data preparation is time-consuming and requires ...

    • Curriculum learning applied to the combined algorithm selection and hyperparameter optimization problem 

      Silva, Lucas Nildaimon dos Santos (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 25/05/2021)
      AutoML has the goal to find the best Machine Learning (ML) pipeline in a complex and high dimensional search space by evaluating multiple algorithm configurations. Training multiple ML algorithms is time costly, and as ...