Buscar
Mostrando ítems 11-20 de 5745
Divergent flows of avian-mediated ecosystem services across forest-matrix interfaces in human-modified landscapes
(2019-01-01)
Context: The ecological interplay between edge and matrix effects along forest-matrix interfaces is closed linked to landscape processes modulating biodiversity and ecosystem services provision in disturbed landscapes. ...
Classification of cardiac arrhythmia by random forests with features constructed by kaizen programming with linear genetic programming
(Wiley, 2016)
Cardiac rhythm disorders may cause severe heart diseases, stroke, and even sudden cardiac death. Some arrhythmias are so serious that can cause injury to other organs, for instance, brain, kidneys, lungs or liver. Therefore, ...
Modelo preditivo do preço de venda de apartamentos em Belo Horizonte utilizando random forest
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICACurso de Especialização em EstatísticaUFMG, 2020-11-04)
Real estate property owners may face difficulties at the time of selling to find a price to be asked. The traditional method for obtaining an estimate of this value is to request an opinion from a real estate agent who ...
OPF-MRF: Optimum-path forest and Markov random fields for contextual-based image classification
(2013-09-26)
Some machine learning methods do not exploit contextual information in the process of discovering, describing and recognizing patterns. However, spatial/temporal neighboring samples are likely to have same behavior. Here, ...
Spatial prediction of soil water retention in a Páramo landscape: methodological insight into machine learning using random forest
(2018)
Soils of Páramo ecosystems regulate the water supply to many Andean populations. In spite of being a necessary input to distributed hydrological models, regionalized soil water retention data from these areas are currently ...
OPF-MRF: Optimum-path forest and Markov random fields for contextual-based image classification
(2013-09-26)
Some machine learning methods do not exploit contextual information in the process of discovering, describing and recognizing patterns. However, spatial/temporal neighboring samples are likely to have same behavior. Here, ...
Disease duration and disability in dysfeRlinopathy can be described by muscle imaging using heatmaps and random forests
(John Wiley and Sons Inc., 2019)
© 2018 Wiley Periodicals, Inc.Introduction: The manner in which imaging patterns change over the disease course and with increasing disability in dysferlinopathy is not fully understood. Methods: Fibroadipose infiltration ...
Predicción de adquisición de un préstamo personal bancario a través del canal de televentas utilizando el algoritmo Random Forest
(Universidad Nacional Agraria La MolinaPE, 2020)
El objetivo de este trabajo es desarrollar un modelo de clasificación binaria para predecir si el cliente va a aceptar o rechazar el préstamo ofrecido por los asesores al contactarlos vía telefónica. Para ello, se utilizó ...
Methodological proposal to identify the nationality of Twitter users through random forests
(Plos One, 2023-01-31)
We disclose a methodology to determine the participants in discussions and their contribu tions in social networks with a local relationship (e.g., nationality), providing certain levels of trust and efficiency in the ...