Learning Conditional Distributions using Mixtures of Truncated Basis Functions

Learning Conditional Distributions using Mixtures of Truncated Basis Functions

Mixtures of Truncated Basis Functions (MoTBFs) have recently been proposed for modelling univariate and joint distributions in hybrid Bayesian networks. In this paper we analyse the problem of learning conditional MoTBF distributions from data. Our approach utilizes a new technique for learning...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs:	Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
Formaat:	info:eu-repo/semantics/article
Taal:	English
Gepubliceerd in:	2017
Online toegang:	http://hdl.handle.net/10835/4859

Gelijkaardige items

Learning Mixtures of Truncated Basis Functions from Data
door: Langseth, Helge, et al.
Gepubliceerd in: (2017)

Mixtures of Truncated Basis Functions
door: Langseth, Helge, et al.
Gepubliceerd in: (2017)

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2023)

Learning hybrid Bayesian networks using mixtures of truncated exponentials
door: Romero, Vanessa, et al.
Gepubliceerd in: (2017)

Parameter Estimation in Mixtures of Truncated Exponentials
door: Langseth, Helge, et al.
Gepubliceerd in: (2012)

Structural Learning of Bayesian Networks with Mixtures of Truncated Exponentials
door: Romero, Vanessa, et al.
Gepubliceerd in: (2012)

Learning naive Bayes regression models with missing data using mixtures of truncated exponentials
door: Fernández, Antonio, et al.
Gepubliceerd in: (2012)

Approximate Probability Propagation with Mixtures of Truncated Exponentials*
door: Rumí, Rafael, et al.
Gepubliceerd in: (2017)

Estimating mixtures of truncated exponentials from data
door: Moral, Serafín, et al.
Gepubliceerd in: (2012)

Selective naive Bayes predictor with mixtures of truncated exponentials
door: Morales, María, et al.
Gepubliceerd in: (2012)

Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials
door: Gámez Martín, José Antonio, et al.
Gepubliceerd in: (2012)

Parameter learning in MTE networks using incomplete data
door: Fernández, Antonio, et al.
Gepubliceerd in: (2012)

Computation of 2D Fourier transforms and diffraction integrals using Gaussian radial basis functions
door: Ramos López, Darío
Gepubliceerd in: (2018)

Molecular basis of sex hormone receptor function: new targets for intervention

Treating nonresponse in the estimation of the distribution function
door: Rueda García, María del Mar, et al.
Gepubliceerd in: (2023)

MPE inference in Conditional Linear Gaussian Networks
door: Salmerón Cerdán, Antonio, et al.
Gepubliceerd in: (2017)

Distribution function estimation with calibration on principal components
door: Martínez Puertas, Sergio, et al.
Gepubliceerd in: (2023)

The pharmacological basis of therapeutics
door: Gilman, Alfred Goodman, 1941-2015

Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles
door: Rueda García, María del Mar, et al.
Gepubliceerd in: (2022)

Parallel Importance Sampling in Conditional Linear Gaussian Networks
door: Salmerón Cerdán, Antonio, et al.
Gepubliceerd in: (2017)

HUGIN architecture for propagating belief functions
door: Salmerón Cerdán, Antonio, et al.
Gepubliceerd in: (2012)

The Distribution Function of a Probability Measure on a Linearly Ordered Topological Space
door: Gálvez Rodríguez, José Fulgencio, et al.
Gepubliceerd in: (2020)

Incremental supervised classification for the MTE distribution: a preliminary study
door: Flesch, Ildikó, et al.
Gepubliceerd in: (2012)

Modelling and Inference with Conditional Gaussian Probabilistic Decision Graphs*
door: Nielsen, Jens D., et al.
Gepubliceerd in: (2017)

Toxicological evaluation of mycotoxin mixtures: development of in vitro testing strategies and in vivo assessment of a binary mixture
door: Alonso-Jáuregui, M. (María), et al.
Gepubliceerd in: (2023)

Reduction of optimal calibration dimension with a new optimal auxiliary vector for calibrated estimators of the distribution function
door: Martínez Puertas, Sergio, et al.
Gepubliceerd in: (2023)

Using Plasma Etching to Access the Polymer Density Distribution and Diffusivity of Gel Particles
door: Suarez, Ivan J., et al.
Gepubliceerd in: (2021)

On the measure induced by copulas that are invariant under univariate truncation
door: Durante, Fabrizio, et al.
Gepubliceerd in: (2023)

The use of audiovisual means of entertainment for english learning
door: Bruscolotti Pérez, Fabio
Gepubliceerd in: (2019)

Future and conditional

A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs
door: Madsen, Anders L., et al.
Gepubliceerd in: (2017)

Rough vaccines in animal brucellosis: structural and genetic basis and present status
door: Moriyon, I. (Ignacio), et al.
Gepubliceerd in: (2013)

Dichloropropene, 1,3 : dichlopropane and Mixtures, 1,2

Using Mobile Devices for Improving Learning Outcomes and Teachers’ Professionalization
door: García Martínez, Inmaculada, et al.
Gepubliceerd in: (2020)

Spatial Distribution and Mobility of Nutrients on Sand Mulching Soil for Fertigated Green Bean Crops under Greenhouse Conditions in Southern Spain: (I) Macronutrients
door: Llanderal, Alfonso, et al.
Gepubliceerd in: (2021)

Distributed Systems: Concepts and design

Distributed Systems: Concepts and design

Strengthening of reasoning levels in higher education students through the use of learning strategies (problem-based learning and collaborative learning) using ict’s
door: Rodriguez Mendoza, Brigitte J., et al.
Gepubliceerd in: (2018)

Optimisation of operational conditions during the production of Arthrospira platensis using pilot-scale raceway reactors
door: Villaró, Silvia, et al.
Gepubliceerd in: (2022)

Wastewater treatment using Scenedesmus almeriensis: Effect of operational conditions on the composition of the microalgae-bacteria consortia
door: Sánchez-Zurano, Ana, et al.
Gepubliceerd in: (2022)