Learning Conditional Distributions using Mixtures of Truncated Basis Functions

by Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
Published 2017

Parameter learning in MTE networks using incomplete data

by Fernández, Antonio, Langseth, Helge, Nielsen, Thomas D., Salmerón Cerdán, Antonio
Published 2012

Parameter Estimation in Mixtures of Truncated Exponentials

by Langseth, Helge, Nielsen, Thomas D., Rumí, Rafael, Salmerón Cerdán, Antonio
Published 2012

Mixtures of Truncated Basis Functions

by Langseth, Helge, Nielsen, Thomas D., Rumí, Rafael, Salmerón Cerdán, Antonio
Published 2017

Learning Mixtures of Truncated Basis Functions from Data

by Langseth, Helge, Nielsen, Thomas D., Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio
Published 2017

Parallelization of the PC Algorithm

by Madsen, Anders L., Jensen, Frank, Salmerón Cerdán, Antonio, Langseth, Helge, Nielsen, Thomas D.
Published 2017

MPE inference in Conditional Linear Gaussian Networks

by Salmerón Cerdán, Antonio, Rumí, Rafael, Langseth, Helge, Madsen, Anders L., Nielsen, Thomas D.
Published 2017

Variational Inference over Nonstationary Data Streams for Exponential Family Models

by Masegosa Arredondo, Andrés Ramón, Ramos López, Darío, Salmerón Cerdán, Antonio, Langseth, Helge, Nielsen, Thomas Dyhre
Published 2023

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

by Madsen, Anders L., Jensen, Frank, Salmerón Cerdán, Antonio, Karlsen, Martin, Langseth, Helge, Nielsen, Thomas D.
Published 2017

Probabilistic Models with Deep Neural Networks

by Masegosa Arredondo, Andrés Ramón, Cabañas de Paz, Rafael, Langseth, Helge, Nielsen, Thomas Dyhre, Salmerón Cerdán, Antonio
Published 2021

MAP inference in dynamic hybrid Bayesian networks

by Ramos López, Darío, Masegosa, Andrés R., Martínez, Ana M., Salmerón Cerdán, Antonio, Nielsen, Thomas D., Langseth, Helge, Madsen, Anders L.
Published 2017

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs

by Salmerón Cerdán, Antonio, Madsen, Anders L., Jensen, Frank, Langseth, Helge, Nielsen, Thomas D., Ramos López, Darío, Martínez, Ana M., Masegosa, Andrés R.
Published 2017

Modeling concept drift: A probabilistic graphical model based approach

by Borchani, Hanen, Martínez, Ana M., Masegosa, Andrés R., Langseth, Helge, Nielsen, Thomas D., Salmerón Cerdán, Antonio, Fernández, Antonio, Madsen, Anders L., Sáez, Ramón
Published 2017

Parallel Importance Sampling in Conditional Linear Gaussian Networks

by Salmerón Cerdán, Antonio, Ramos López, Darío, Borchani, Hanen, Martínez, Ana M., Masegosa, Andrés R., Fernández, Antonio, Langseth, Helge, Madsen, Anders L., Nielsen, Thomas D.
Published 2017