Skip to content
VuFind
  • Login
    • English
    • Deutsch
    • Español
    • Français
    • Italiano
Advanced
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Cover Image

Saved in:
Bibliographic Details
Main Author: Eglė Zikarienė
Format: Artículo científico
Language:en
Published: Vilniaus Universitetas 2021
Subjects:
Matemáticas
actual error rate
Bayes discriminant function
supervised□1 classification
linear discriminant function
Online Access:https://www.redalyc.org/articulo.oa?id=692674114004
https://www.redalyc.org/journal/6926/692674114004/
https://www.redalyc.org/journal/6926/692674114004/html/
https://www.redalyc.org/journal/6926/692674114004/692674114004.epub
https://www.redalyc.org/journal/6926/692674114004/movil
https://doi.org/10.15388/LMR.2021.25219
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Table of Contents
  • Comments
  • Similar Items
  • Staff View
Be the first to leave a comment!
You must be logged in first

Similar Items

  • Supervised linear classification of Gaussian spatio-temporal data
    by: Marta Karaliutė
    Published: (2021)
  • Classification of Gaussian spatio-temporal data with stationary separable covariances
    by: Marta Karaliute˙
    Published: (2021)
  • Sketching a “low-cost” text-classification technique for text topics in English
    by: Pascual Cantos Gómez
    Published: (2014)
  • DISCRIMINANT METHODS FOR BANKRUPTCY PREDICTION - THEORY AND APPLICATIONS
    by: Józef Pociecha
    Published: (2005)
  • The Ganges basin fish Cirrhinus mrigala (Cypriniformes: Cyprinidae): detection of wild populations stock structure with landmark morphometry
    by: Arvind Kumar Dwivedi
    Published: (2019)

Search Options

  • Search History
  • Advanced Search

Find More

  • Browse the Catalog
  • Browse Alphabetically
  • Explore Channels
  • Course Reserves
  • New Items

Need Help?

  • Search Tips
  • Ask a Librarian
  • FAQs