h1

h2

h3

h4

h5
h6
http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Empirical Comparison Between Cross-Validation and Mutation-Validation in Model Selection

; ; ; ;

In
Advances in Intelligent Data Analysis XXII : 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Stockholm, Sweden, April 24–26, 2024, Proceedings, Part II / edited by Ioanna Miliou, Nico Piatkowski, Panagiotis Papapetrou, Seiten/Artikel-Nr: 56-67

Ausgabe1st ed. 2024.

Konferenz/Event:22. International Symposium on Intelligent Data Analysis , Stockholm , Sweden , IDA 2024 , 2024-03-24 - 2024-04-26

ImpressumCham : Springer Nature Switzerland

Umfang56-67

ISBN978-3-031-58553-1, 978-3-031-58554-8, 978-3-031-58555-5

ReiheLecture Notes in Computer Science ; 14642

Online
DOI: 10.1007/978-3-031-58553-1_5


Einrichtungen

  1. Lehr- und Forschungsgebiet Neural Computation (FZ Jülich) (124920)
  2. Fachgruppe Informatik (120000)
  3. Lehrstuhl für Software Engineering (Informatik 3) (121510)



Dokumenttyp
Contribution to a book/Contribution to a conference proceedings

Format
online, print

Sprache
English

Anmerkung
Peer review status of article unknown

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85192149450
WOS Core Collection: WOS:001295920900005

Interne Identnummern
RWTH-2024-11048
Datensatz-ID: 997087

Beteiligte Länder
Germany

 GO


NationallizenzNationallizenz ; SCOPUS

QR Code for this record

The record appears in these collections:
Document types > Events > Contributions to a conference proceedings
Document types > Books > Contributions to a book
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Computer Science
Public records
Publications database
120000
124920
121510

 Record created 2024-11-25, last modified 2025-07-29



Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)