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Evaluating time series forecasting models: An empirical study on
  performance estimation methods

Evaluating time series forecasting models: An empirical study on performance estimation methods

28 May 2019
Vítor Cerqueira
Luís Torgo
I. Mozetič
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Evaluating time series forecasting models: An empirical study on performance estimation methods"

5 / 5 papers shown
Title
Measuring temporal effects of agent knowledge by date-controlled tool use
Measuring temporal effects of agent knowledge by date-controlled tool use
R. Xian
Qiming Cui
Stefan Bauer
Reza Abbasi-Asl
KELM
134
0
0
06 Mar 2025
How to evaluate sentiment classifiers for Twitter time-ordered data?
How to evaluate sentiment classifiers for Twitter time-ordered data?
I. Mozetič
Luís Torgo
Vítor Cerqueira
Jasmina Smailovic
18
30
0
14 Mar 2018
Time for a change: a tutorial for comparing multiple classifiers through
  Bayesian analysis
Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis
A. Benavoli
Giorgio Corani
J. Demšar
Marco Zaffalon
BDL
62
424
0
14 Jun 2016
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
267
2,787
0
18 Aug 2015
A survey of cross-validation procedures for model selection
A survey of cross-validation procedures for model selection
Sylvain Arlot
Alain Celisse
213
3,598
0
27 Jul 2009
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