Choosing between Two Learning Algorithms Based on Calibrated Tests (2003)

by Remco R. Bouckaert
Venue:In ICML’03
Citations:31 - 3 self

Active Bibliography

with – Remco R. Bouckaert
13 Pruning decision trees and lists – Eibe Frank - 2000
9 Estimating Replicability of Classifier Learning Experiments – Remco Bouckaert - 2004
Selecting an Appropriate Statistical Test for Comparing Multiple Experiments in Evolutionary Machine Learning – José Otero, Luciano Sánchez, Jesús Alcalá-fdez
Consequences of Variability in Classifier Performance Estimates – Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
5 Feature subset selection bias for classification learning – Surendra K. Singhi, Huan Liu - 2006
28 Evaluating the replicability of significance tests for comparing learning algorithms – Remco R. Bouckaert, Eibe Frank - 2004
ISBN: 978-0-494-28557-2 Our file Notre référence – Rebecca Fiebrink, Bibliothèque Et - 2006
1 Data Mining of Machine Learning Performance Data – Remzi Salih Ibrahim - 1999
2 A Bayesian Metric for Evaluating Machine Learning – Algorithms Lucas Hope, Lucas R. Hope, Kevin B. Korb - 2004
7 Data Mining At The Interface Of Computer Science And Statistics – Padhraic Smyth - 2001
1 Design and Analysis of Classifier Learning Experiments in Bioinformatics: Survey and Case – Ozan _ Irsoy, Olcay Taner Y Ld Z, Ethem Alpayd N
9 Latent classification models – Helge Langseth, Thomas D. Nielsen, Pedro Larrañaga, Jose A. Lozano, Jose M. Peña, Iñaki Inza - 2005
2 Using classification to evaluate the output of confidence-based association rule mining – Stefan Mutter, Mark Hall, Eibe Frank - 2004
Classification using . . . – Stefan Mutter - 2004
Gene expression Avoiding – Daniel Berrar, Ian Bradbury, Werner Dubitzky
13 Best-first decision tree learning – Haijian Shi - 2007
26 No Unbiased Estimator of the Variance of K-Fold Cross-Validation – Yoshua Bengio, Yves Grandvalet - 2003
1 A Stratified Methodology for Classifier and Recognizer Evaluation – Ross J. Micheals, Terrance E. Boult