Skip to content
Universidad del Mar SIBUMAR Descubridor Institucional UMAR
  • Inicio
  • Búsqueda avanzada
  • Explorar
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Comparison of maximum likelihood, support vector machines, and random forest techniques in satellite images classification
Cover Image

Comparison of maximum likelihood, support vector machines, and random forest techniques in satellite images classification

Saved in:
Bibliographic Details
Main Author: José Antonio Valero Medina
Format: Artículo científico
Language:en
Published: Universidad Distrital Francisco José de Caldas 2019
Subjects:
Ingeniería
software R
decision tree
random forest
Confidence test
confusion matrix
Online Access:
Acceder al recurso 1 Acceder al recurso 2 Acceder al recurso 3 Acceder al recurso 4 Acceder al recurso 5
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://www.redalyc.org/articulo.oa?id=257059542002
https://www.redalyc.org/journal/2570/257059542002/
https://www.redalyc.org/journal/2570/257059542002/html/
https://www.redalyc.org/journal/2570/257059542002/257059542002.epub
https://www.redalyc.org/journal/2570/257059542002/movil

Similar Items

  • Clasificación automática de reclamos eléctricos mediante árboles de decisión y random forest: un estudio aplicado a CNEL EP
    by: Francisco Javier Carpio Velasco
    Published: (2026)
  • Map of tree floristic patterns in Peruvian Amazonia
    by: Chaves, Pablo Pérez
    Published: (2020)
  • Code supplement: Spatial autocorrelation in machine learning for modelling soil organic carbon
    by: Kmoch, Alexander, et al.
    Published: (2024)
  • Software Defect Prediction Dataset: 296,457 Code File Instances from Five Open-Source Repositories (Elasticsearch, Spring Boot, Hadoop, Kafka, Express)
    by: Javvadi, Vijay P
    Published: (2026)
  • Applying Predictive Data Mining to Discover Factors Associated to the Language Skill Performance from Elementary School Students
    by: Ricardo Timarán-Pereira
    Published: (2022)
Universidad del Mar
Universidad del MarSistema Bibliotecario de la Universidad del MarDescubridor Institucional UMARImplementación y desarrollo: Mtro. Carlos Alonso Albores Pérez
InicioBúsqueda avanzadaExplorar
Visitas al Descubridor: 33,245© 2026 Universidad del Mar