• Matemática cotidiana y recreativa en el grado en Matemáticas 

  Rodríguez Lallena, José Antonio (2018-07-05)

• Weak completeness of the Bourbaki quasi-uniformity 

  Sánchez-Granero, M.A (2001)

• Modeling concept drift: A probabilistic graphical model based approach 

  Borchani, Hanen; Martínez, Ana M.; Masegosa, Andrés R.; Langseth, Helge; Nielsen, Thomas D.; Salmerón Cerdán, AntonioFernández, AntonioMadsen, Anders L.Sáez, Ramón[et al.] (2015)

• MPE inference in Conditional Linear Gaussian Networks 

  Salmerón Cerdán, Antonio; Rumí, Rafael; Langseth, Helge; Madsen, Anders L.; Nielsen, Thomas D. (2015)

• Parallel Importance Sampling in Conditional Linear Gaussian Networks 

  Salmerón Cerdán, Antonio; Ramos López, Darío; Borchani, Hanen; Martínez, Ana M.; Masegosa, Andrés R.; Fernández, AntonioLangseth, HelgeMadsen, Anders L.Nielsen, Thomas D.[et al.] (2015)

• A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs 

  Madsen, Anders L.; Jensen, Frank; Salmerón Cerdán, Antonio; Karlsen, Martin; Langseth, Helge; Nielsen, Thomas D.[et al.] (2014)

• Parallelization of the PC Algorithm 

  Madsen, Anders L.; Jensen, Frank; Salmerón Cerdán, Antonio; Langseth, Helge; Nielsen, Thomas D. (2015)

• Learning Conditional Distributions using Mixtures of Truncated Basis Functions 

  Pérez-Bernabé, Inmaculada; Salmerón Cerdán, Antonio; Langseth, Helge (2015)

• Estimating mixtures of truncated exponentials from data 

  Moral, Serafín; Rumí, Rafael; Salmerón Cerdán, Antonio (2002)

• Structural Learning of Bayesian Networks with Mixtures of Truncated Exponentials 

  Romero, Vanessa; Rumí, Rafael; Salmerón Cerdán, Antonio (2004)

• Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials 

  Gámez Martín, José Antonio; Rumí, Rafael; Salmerón Cerdán, Antonio (2006)

• Factorisation of Probability Trees and its Applications 

  Martínez, Irene; Moral, Serafín; Rodríguez, Carmelo; Salmerón Cerdán, Antonio (2002)

• Parameter Estimation in Mixtures of Truncated Exponentials 

  Langseth, Helge; Nielsen, Thomas D.; Rumí, Rafael; Salmerón Cerdán, Antonio (2008)

• Structural-EM for Learning PDG Models from Incomplete Data 

  Nielsen, Jens D.; Rumí, Rafael; Salmerón Cerdán, Antonio (2008)

• Learning naive Bayes regression models with missing data using mixtures of truncated exponentials 

  Fernández, Antonio; Nielsen, Jens D.; Salmerón Cerdán, Antonio (2008)

• Learning recursive probability trees from probabilistic potentials 

  Cano, Andrés; Gómez Olmedo, Manuel; Moral, Serafín; Pérez-Ariza, Cora B.; Salmerón Cerdán, Antonio (2010)

• Incremental supervised classification for the MTE distribution: a preliminary study 

  Flesch, Ildikó; Fernández, Antonio; Salmerón Cerdán, Antonio (2007)

• Selective naive Bayes predictor with mixtures of truncated exponentials 

  Morales, María; Rodríguez, Carmelo; Salmerón Cerdán, Antonio (2006)

• Parameter learning in MTE networks using incomplete data 

  Fernández, Antonio; Langseth, Helge; Nielsen, Thomas D.; Salmerón Cerdán, Antonio (2010)

• Reduction of Irrelevant Features in Oceanic Satellite Images by means of Bayesian Networks 

  Piedra Fernández, José Antonio; Salmerón Cerdán, Antonio; Guindos, Francisco J.; Cantón-Garbín, Manuel (2005)

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