Bayesian Networks for Preprocessing Water Management Data
Environmental data often present inconveniences that make modeling tasks difficult. During the phase of data collection, two problems were found: (i) a block of five months of data was unavailable, and (ii) no information was collected from the coastal area, which made flood-risk estimation difficul...
Główni autorzy: | Fernández Ropero, Rosa María, Flores Gallego, María Julia, Rumí Rodríguez, Rafael |
---|---|
Format: | info:eu-repo/semantics/article |
Język: | English |
Wydane: |
MDPI
2022
|
Hasła przedmiotowe: | |
Dostęp online: | http://repositorio.ual.es/handle/10835/13716 |
Podobne zapisy
-
LEARNING BAYESIAN NETWORKS FOR REGRESSION FROM INCOMPLETE DATABASES*
od: Fernández, Antonio, i wsp.
Wydane: (2017) -
Modeling Semi-Arid River-Aquifer Systems With Bayesian Networks and Artificial Neural Networks
od: Maldonado González, Ana Devaki, i wsp.
Wydane: (2022) -
Regression using hybrid Bayesian networks: modelling landscape - socioeconomy relationships
od: Fernández Ropero, Rosa María, i wsp.
Wydane: (2024) -
Discretizing environmental data for learning Bayesian-networkclassifiers
od: Fernández Ropero, Rosa María, i wsp.
Wydane: (2024) -
Cost-Sensitive Variable Selection for Multi-Class Imbalanced Datasets Using Bayesian Networks
od: Ramos-López, Darío, i wsp.
Wydane: (2021)