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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Pérez-Bernabé, Inmaculada, Salmerón Cerdán, Antonio, Langseth, Helge
Format:	info:eu-repo/semantics/article
Język:	English
Wydane:	2017
Dostęp online:	http://hdl.handle.net/10835/4859

Podobne zapisy

Learning Mixtures of Truncated Basis Functions from Data
od: Langseth, Helge, i wsp.
Wydane: (2017)

Mixtures of Truncated Basis Functions
od: Langseth, Helge, i wsp.
Wydane: (2017)

MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
od: Maldonado González, Ana Devaki, i wsp.
Wydane: (2023)

Learning hybrid Bayesian networks using mixtures of truncated exponentials
od: Romero, Vanessa, i wsp.
Wydane: (2017)

Parameter Estimation in Mixtures of Truncated Exponentials
od: Langseth, Helge, i wsp.
Wydane: (2012)

Structural Learning of Bayesian Networks with Mixtures of Truncated Exponentials
od: Romero, Vanessa, i wsp.
Wydane: (2012)

Learning naive Bayes regression models with missing data using mixtures of truncated exponentials
od: Fernández, Antonio, i wsp.
Wydane: (2012)

Approximate Probability Propagation with Mixtures of Truncated Exponentials*
od: Rumí, Rafael, i wsp.
Wydane: (2017)

Estimating mixtures of truncated exponentials from data
od: Moral, Serafín, i wsp.
Wydane: (2012)

Selective naive Bayes predictor with mixtures of truncated exponentials
od: Morales, María, i wsp.
Wydane: (2012)

Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials
od: Gámez Martín, José Antonio, i wsp.
Wydane: (2012)

Parameter learning in MTE networks using incomplete data
od: Fernández, Antonio, i wsp.
Wydane: (2012)

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

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

Treating nonresponse in the estimation of the distribution function
od: Rueda García, María del Mar, i wsp.
Wydane: (2023)

MPE inference in Conditional Linear Gaussian Networks
od: Salmerón Cerdán, Antonio, i wsp.
Wydane: (2017)

Distribution function estimation with calibration on principal components
od: Martínez Puertas, Sergio, i wsp.
Wydane: (2023)

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

Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles
od: Rueda García, María del Mar, i wsp.
Wydane: (2022)

Parallel Importance Sampling in Conditional Linear Gaussian Networks
od: Salmerón Cerdán, Antonio, i wsp.
Wydane: (2017)

HUGIN architecture for propagating belief functions
od: Salmerón Cerdán, Antonio, i wsp.
Wydane: (2012)

The Distribution Function of a Probability Measure on a Linearly Ordered Topological Space
od: Gálvez Rodríguez, José Fulgencio, i wsp.
Wydane: (2020)

Incremental supervised classification for the MTE distribution: a preliminary study
od: Flesch, Ildikó, i wsp.
Wydane: (2012)

Modelling and Inference with Conditional Gaussian Probabilistic Decision Graphs*
od: Nielsen, Jens D., i wsp.
Wydane: (2017)

Toxicological evaluation of mycotoxin mixtures: development of in vitro testing strategies and in vivo assessment of a binary mixture
od: Alonso-Jáuregui, M. (María), i wsp.
Wydane: (2023)

Reduction of optimal calibration dimension with a new optimal auxiliary vector for calibrated estimators of the distribution function
od: Martínez Puertas, Sergio, i wsp.
Wydane: (2023)

Using Plasma Etching to Access the Polymer Density Distribution and Diffusivity of Gel Particles
od: Suarez, Ivan J., i wsp.
Wydane: (2021)

On the measure induced by copulas that are invariant under univariate truncation
od: Durante, Fabrizio, i wsp.
Wydane: (2023)

The use of audiovisual means of entertainment for english learning
od: Bruscolotti Pérez, Fabio
Wydane: (2019)

Future and conditional

A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs
od: Madsen, Anders L., i wsp.
Wydane: (2017)

Rough vaccines in animal brucellosis: structural and genetic basis and present status
od: Moriyon, I. (Ignacio), i wsp.
Wydane: (2013)

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

Using Mobile Devices for Improving Learning Outcomes and Teachers’ Professionalization
od: García Martínez, Inmaculada, i wsp.
Wydane: (2020)

Spatial Distribution and Mobility of Nutrients on Sand Mulching Soil for Fertigated Green Bean Crops under Greenhouse Conditions in Southern Spain: (I) Macronutrients
od: Llanderal, Alfonso, i wsp.
Wydane: (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
od: Rodriguez Mendoza, Brigitte J., i wsp.
Wydane: (2018)

Optimisation of operational conditions during the production of Arthrospira platensis using pilot-scale raceway reactors
od: Villaró, Silvia, i wsp.
Wydane: (2022)

Wastewater treatment using Scenedesmus almeriensis: Effect of operational conditions on the composition of the microalgae-bacteria consortia
od: Sánchez-Zurano, Ana, i wsp.
Wydane: (2022)