Learning Conditional Distributions using Mixtures of Truncated Basis Functions

由 Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
出版 2017

Parameter learning in MTE networks using incomplete data

由 Fernández, Antonio, Langseth, Helge, Nielsen, Thomas D., Salmerón Cerdán, Antonio
出版 2012

Parameter Estimation in Mixtures of Truncated Exponentials

由 Langseth, Helge, Nielsen, Thomas D., Rumí, Rafael, Salmerón Cerdán, Antonio
出版 2012

Mixtures of Truncated Basis Functions

由 Langseth, Helge, Nielsen, Thomas D., Rumí, Rafael, Salmerón Cerdán, Antonio
出版 2017

Learning Mixtures of Truncated Basis Functions from Data

由 Langseth, Helge, Nielsen, Thomas D., Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio
出版 2017

Parallelization of the PC Algorithm

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

MPE inference in Conditional Linear Gaussian Networks

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

Variational Inference over Nonstationary Data Streams for Exponential Family Models

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

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

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

Probabilistic Models with Deep Neural Networks

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

MAP inference in dynamic hybrid Bayesian networks

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

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

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

Modeling concept drift: A probabilistic graphical model based approach

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

Parallel Importance Sampling in Conditional Linear Gaussian Networks

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