Elegir campos a generar del autor Antonio

Datos personales Todos / Ninguno
Correo Electrónico
Artículos Todos / Ninguno
Spatial and temporal characterization of the rich fraction of plastid DNA present in the nuclear genome of Moringa oleifera reveals unanticipated complexity in NUPTs´ formation
Bayesian Network analysis of software logs for data‐driven software maintenance
An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark
Comments on: Hybrid semiparametric Bayesian networks
A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks
Probabilistic Models with Deep Neural Networks
MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
InferPy: Probabilistic modeling with deep neural networks made easy
Statistical Parameters Based on Fuzzy Measures
Variational Inference over Nonstationary Data Streams for Exponential Family Models
MoTBFs: An R Package for Learning Hybrid Bayesian Networks Using Mixtures of Truncated Basis Functions
Analyzing uncertainty in complex socio-ecological networks
Construction of Fuzzy Measures over Product Spaces
Comparing two multinomial samples using hierarchical Bayesian models
Analyzing concept drift: A case study in the financial sector
Analyzing Uncertainty in Complex Socio-Ecological Networks
Las matemáticas que rigen nuestras cuentas personales
Prediction of a complex system with few data: Evaluation of the effect of model structure and amount of data with dynamic bayesian network models
A survey on Bayesian network structure learning from data
InferPy: Probabilistic modeling with Tensorflow made easy
AMIDST: A Java toolbox for scalable probabilistic machine learning
A review of inference algorithms for hybrid Bayesian networks
Probabilistic modeling of the relationship between socioeconomy and ecosystem services in cultural landscapes
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks
A parallel algorithm for Bayesian network structure learning from large data sets
Scaling up Bayesian variational inference using distributed computing clusters
MAP inference in dynamic hybrid Bayesian networks
Continuous Bayesian networks for probabilistic environmental risk mapping
Parameter learning in hybrid Bayesian networks using prior knowledge
Modeling zero-inflated explanatory variables in hybrid Bayesian network classifiers for species occurrence prediction
Continuous Bayesian networks vs. other methods for regression in environmental modelling
Estadística y Big Data
Continuous Bayesian networks for the estimation of species richness
Accurate lead time demand modeling and optimal inventory policies in continuous review systems
Practical aspects of solving hybrid Bayesian networks containing deterministic conditionals
Recent advances in probabilistic graphical models
Learning Mixtures of Truncated Basis Functions from Data
Data clustering using hidden variables in hybrid Bayesian networks
A tool based on Bayesian networks for supporting geneticists in plant improvement by controlled pollination
Inference in Bayesian networks with recursive probability trees: Data structure definition and operations
Inventory management with log-normal demand per unit time
New strategies for finding multiplicative decompositions of probability trees
Answering queries in hybrid Bayesian networks using importance sampling
Moments and associated measures of copulas with fractal support
Fast factorisation of probabilistic potentials and its application to approximate inference in bayesian networks
Learning recursive probability trees from probabilistic potentials
Modelling and inference with conditional Gaussian probabilistic decision Graphs
A system for relevance analysis of performance indicators in higher education using Bayesian networks
Bayesian networks in environmental modelling
Learning bayesian networks for regression from incomplete databases
Multi-Objective Evolutionary Algorithms Used in Greenhouse Planning for Recycling Biomass into Energy
Structural-EM for learning PDG models from incomplete data
Parameter Estimation and Model Selection for Mixtures of Truncated Exponentials
Maximum Likelihood Learning of Conditional MTE Distributions
Supervised classification using probabilistic decision graphs
Inference in hybrid Bayesian networks
BayesChess: A computer chess program based on Bayesian networks
Approximate probability propagation with mixtures of truncated exponentials
Bayesian network models with discrete and continuous variables
Selective naive bayes for regression based on mixtures of truncated exponentials
Preface
Learning hybrid Bayesian networks using mixtures of truncated exponentials
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004
Estimating mixtures of truncated exponentials in hybrid bayesian networks
Dynamic importance sampling in Bayesian networks based on probability trees
New trends in probabilistic graphical models
Novel strategies to approximate probability trees in Penniless propagation
Probabilistic graphical models
Lazy Evaluation in Penniless Propagation over Join Trees
Importance sampling in Bayesian networks using probability trees
Penniless propagation in join trees
OPERATIONAL APPROACH TO GENERAL FUZZY MEASURES
A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques
Numerical experimentation and comparison of fuzzy integrals
Libros, capítulos, tesis Todos / Ninguno
Análisis de datos ambientales usando redes bayesianas
Mixtures of Gaussians as a Proxy in Hybrid Bayesian Networks
Learning hybrid bayesian networks using mixtures of truncated basis functions. Aprendizaje de redes bayesianas híbridas con mixturas de funciones base truncadas
Estimation of species richness using bayesian networks
Supervised classification using hybrid probabilistic decision graphs
New data structures and algorithms for uncertainty treatment with probabilistic graphical models
Incorporating prior knowledge when learning mixtures of truncated basis functions from data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
Learning recursive probability trees from data
On using the PC algorithm for learning continuous Bayesian networks: An experimental analysis
Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions
Redes bayesianas híbridas en dominios de alta dimensionalidad
Probability tree factorisation with median free term
Fast factorization of probability trees and its application to recursive trees learning
Predicting stock and portfolio returns using mixtures of truncated exponentials
Extension of Bayesian network classifiers to regression problems
Análisis de indicadores de rendimiento mediante redes bayesianas
Factorizacion de arboles de probabilidad. Aplicacion a metodos de inferencia aproximados
Modelización y predicción en estadística universitaria
Modeling conditional distributions of continuous variables in Bayesian networks
Penniless propagation with mixtures of truncated exponentials
Approximate factorisation of probability trees
Modelos de redes bayesianas con variables discretas y continuas
Estadística computacional
Estadística computacional Antonio Salmerón Cerdán, María Morales Giraldo
Programación Monte Carlo en redes bayesianas usando variables correlacionadas
Algoritmos de propagación II: métodos de Monte Carlo
Precomputación en grafos de dependencias mediante algoritmos aproximados
Imp. Sampling Algorithms for Belief Networks Based on Approx. Comp.
Conferencias Todos / Ninguno
Bayesian models of data streams with Hierarchical Power Priors
Financial Data Analysis with PGMs Using AMIDST
An experimental comparison of methods to handle missing values in environmental datasets
d-VMP: Distributed Variational Message Passing
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
Robust classification of multivariate time series by imprecise hidden Markov models
Dynamic Bayesian modeling for risk prediction in credit operations
Learning conditional distributions using mixtures of truncated basis functions
Modeling concept drift: A probabilistic graphical model based approach
MPE inference in conditional linear gaussian networks
Parallel importance sampling in conditional linear Gaussian networks
Parallelisation of the PC Algorithm
A new method for vertical parallelisation of TAN learning based on balanced incomplete block designs
CREDO: a Military Decision-Support System based on Credal Networks
Mixtures of truncated basis functions
Tractable inference in hybrid bayesian networks with deterministic conditionals using re-approximations
Approximating the distribution of a sum of log-normal random variables
Some practical issues in inference in hybrid Bayesian networks with deterministic conditionals
Parameter learning in MTE networks using incomplete data
Conditional gaussian probabilistic decision graphs
Use of Cool Plastic Films for Greenhouse Covering in Southern Spain
Structural-EM for learning PDG models from incomplete data
Structural-EM for learning PDG models from incomplete data
Learning naïve bayes regression models with missing data using mixtures of truncated exponentials
Parameter estimation in mixtures of truncated exponentials
Fast algorithms for robust classification with Bayesian nets
Tree augmented naive bayes for regression using mixtures of truncated exponentials: Application to higher education management
El clasificador grafo de decisión probabilıstico
New cool plastic films for greenhouse covering in tropical and subtropical areas
Unsupervised naive Bayes for data clustering with mixtures of truncated exponentials
Dynamic importance sampling in Bayesian networks using factorisation of probability trees
Algorithms for approximate probability propagation in Bayesian networks
Multivariate imputation of qualitative missing data using Bayesian networks
Representing canonical models as probability trees
Análisis del sector agrario del poniente almeriense mediante redes bayesianas
Strawberry and cucumber cultivation under fluorescent photoselective plastic films cover
Dynamic importance sampling computation in Bayesian networks
Approximating conditional MTE distributions by means of mixed trees
Estimating mixtures of truncated exponentials from data
Mixtures of truncated exponentials in hybrid Bayesian networks
Importance sampling in Bayesian networks using antithetic variables
A monte carlo algorithm for combining dempster-shafer belief based on approximate pre-computation
Informes y otros Todos / Ninguno
The multilabel naive credal classifier
Probabilistic Inference in Credal Networks: New Complexity Results
HUGIN architecture for propagating belief functions
Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers
Metodología para el análisis de relevancia de indicadores de rendimiento en educación superior
Incremental supervised classification for the MTE distribution: a preliminary study
Selective naive Bayes predictor with mixtures of truncated exponentials
BayesChess: programa de ajedrez adaptativo basado en redes bayesianas
Predicción del valor genético en ovejas de raza manchega usando técnicas de aprendizaje automático
Reduction of Irrelevant Features in Oceanic Satellite Images by means of Bayesian Networks
Structural Learning of Bayesian Networks with Mixtures of Truncated Exponentials
Análisis del alumnado de la Universidad de Almería mediante redes bayesianas
Factorisation of Probability Trees and its Applications
Métricas del autor Todos / Ninguno
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