Comments on: Hybrid semiparametric Bayesian networks

Comments on: Hybrid semiparametric Bayesian networks

The authors present an interesting work that extends their previous contribution on semiparametric Bayesian networks to a more general class of models, namely hybrid Bayesian networks, in which discrete (or categorical) and continuous variables coexist.

Bibliografische gegevens
Hoofdauteur:	Salmerón Cerdán, Antonio
Formaat:	info:eu-repo/semantics/article
Taal:	English
Gepubliceerd in:	Springer 2023
Onderwerpen:	Bayesian networks
Online toegang:	http://hdl.handle.net/10835/14823

Gelijkaardige items

MAP inference in dynamic hybrid Bayesian networks
door: Ramos López, Darío, et al.
Gepubliceerd in: (2017)

Answering queries in hybrid Bayesian networks using importance sampling
door: Fernández, Antonio, et al.
Gepubliceerd in: (2017)

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

BayesChess: A computer chess program based on Bayesian networks
door: Fernández, Antonio, et al.
Gepubliceerd in: (2017)

Regression using hybrid Bayesian networks: modelling landscape - socioeconomy relationships
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Assessment of flood risk in Mediterranean catchments: an approach based on Bayesian networks
door: Flores Gallego, María Julia, et al.
Gepubliceerd in: (2024)

Groundwater quality assessment using data clustering based on hybrid Bayesian networks
door: Aguilera Aguilera, Pedro, et al.
Gepubliceerd in: (2024)

Dynamic Importance Sampling in Bayesian Networks Based on Probability Trees
door: Moral, Serafín, et al.
Gepubliceerd in: (2017)

Modeling Semi-Arid River-Aquifer Systems With Bayesian Networks and Artificial Neural Networks
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2022)

Bayesian Networks for Preprocessing Water Management Data
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2022)

A Soft Clustering Approach to Detect Socio-Ecological Landscape Boundaries Using Bayesian Networks
door: Ropero, Rosa F., et al.
Gepubliceerd in: (2021)

Analyzing Uncertainty in Complex Socio-Ecological Networks
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2020)

Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
door: Ramos-López, Darío, et al.
Gepubliceerd in: (2021)

Learning and Inference methodologies for Hybrid Dynamic Bayesian networks. A case study for a water reservoir system in Andalusia, Spain.
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

LEARNING BAYESIAN NETWORKS FOR REGRESSION FROM INCOMPLETE DATABASES*
door: Fernández, Antonio, et al.
Gepubliceerd in: (2017)

An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark
door: Morales Giraldo, María Encarnación, et al.
Gepubliceerd in: (2022)

Discretizing environmental data for learning Bayesian-networkclassifiers
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Probabilistic Models with Deep Neural Networks
door: Masegosa Arredondo, Andrés Ramón, et al.
Gepubliceerd in: (2021)

Fast factorisation of probabilistic potentials and its application to approximate inference in Bayesian networks
door: Cano, Andrés, et al.
Gepubliceerd in: (2017)

Modelling Dependency Structures Produced by the Introduction of a Flipped Classroom
door: Maldonado González, Ana Devaki, et al.
Gepubliceerd in: (2020)

Predicting severe haematological toxicity in gastrointestinal cancer patients undergoing 5-FU-based chemotherapy: A bayesian network approach
door: Ruiz-Sarrias, O. (Oskitz), et al.
Gepubliceerd in: (2024)

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

Modelling relationships between socioeconomy, landscape and water flows in Mediterranean agroecosystems: a case study in Adra catchment (Spain) using Bayesian networks
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

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

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

Applications of hybrid dynamic Bayesian networks to water reservoir management
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Modelling uncertainty in social-natural interactions
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Evaluation of a Bayesian Algorithm to Detect Burned Areas in the Canary Islands’ Dry Woodlands and Forests Ecoregion Using MODIS Data
door: Guindos Rojas, Francisco, et al.
Gepubliceerd in: (2020)

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)

Bayesian networks in environmental modeling
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

Analysis of the socioecological structure and dynamics of the territory using a hybrid Bayesian network classifier
door: Fernández Ropero, Rosa María, et al.
Gepubliceerd in: (2024)

A Hybrid Water Distribution Networks Design Optimization Method Based on a Search Space Reduction Approach and a Genetic Algorithm
door: Reca Cardeña, Juan, et al.
Gepubliceerd in: (2020)

A Monte-Carlo Algorithm for Probabilistic Propagation in Belief Networks based on Importance Sampling and Stratified Simulation Techniques
door: Hernández, Luis D., et al.
Gepubliceerd in: (2017)

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

Distributed network for measuring climatic parameters in heterogeneous environments: Application in a greenhouse
door: López-Martínez, Javier, et al.
Gepubliceerd in: (2023)

Distributed Key Management to Secure IoT Wireless Sensor Networks in Smart-Agro
door: Hussein, Safwan Mawlood, et al.
Gepubliceerd in: (2020)

Computer networks

Topological Evaluation of Realistic Mobility Models for Spontaneous Wireless Networks Using Graph Theory Metrics
door: Belesaca Mendieta, Juan Diego, et al.
Gepubliceerd in: (2024)

Community detection in national-scale high voltage transmission networks using genetic algorithms
door: Guerrero López, Manuel Alejandro, et al.
Gepubliceerd in: (2024)

Hybrid AC/DC Static Transmission Expansion Planning Using a New Efficient Iterated Greedy Algorithm
door: Idrovo Quilambaqui, Jorge Esteban, et al.
Gepubliceerd in: (2024)