Now showing items 1-7 of 7

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      A new multivariate data analysis model: constrained Naïve Bayes  [Master's Thesis]

      Sillero Denamiel, María Remedios (2016-06-24)
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      A sparsity-controlled vector autoregressive model  [Article]

      Carrizosa Priego, Emilio José; Olivares Nadal, Alba Victoria; Ramírez Cobo, Josefa (Oxford University Press, 2017-04)
      Vector autoregressive (VAR) models constitute a powerful and well studied tool to analyze multivariate time series. Since sparseness, crucial to identify and visualize joint dependencies and relevant causalities, is not ...
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      Constrained support vector machines theory and applications to health science  [Master's Thesis]

      Benítez Peña, Sandra (2016-06-24)
      En los últimos años, la ciencia de los datos se ha convertido en una herramienta muy importante para tratar datos, así como para descubrir patrones y generar información útil en la toma de decisiones. Una de las tareas más ...
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      Cost-sensitive feature selection for support vector machines  [Article]

      Benítez Peña, Sandra; Blanquero Bravo, Rafael; Carrizosa Priego, Emilio José; Ramírez Cobo, Josefa (Elsevier, 2018-03)
      Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant variables, making thus the classification procedures more interpretable and more effective by ...
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      Enhancing robustness and sparsity via mathematical optimization  [PhD Thesis]

      Olivares Nadal, Alba Victoria (2016-09-22)
      Esta tesis se centra en derivar métodos robustos o dispersos bajo la perspectiva de la optimización para problemas que tradicionalmente se engloban en los campos de la Estadística o de la Investigación Operativa. Concretamente, ...
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      Robust newsvendor problem with autoregressive demand  [Article]

      Carrizosa Priego, Emilio José; Olivares Nadal, Alba Victoria; Ramírez Cobo, Josefa (Elsevier, 2016-04)
      This paper explores the classic single-item newsvendor problem under a novel setting which combines temporal dependence and tractable robust optimization. First, the demand is modeled as a time series which follows an ...
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      Robust p-median problem with vector autoregressive demands  [Presentation]

      Carrizosa Priego, Emilio José; Olivares Nadal, Alba Victoria; Ramírez Cobo, Josefa (2015)