[PDF][PDF] An Extension on" Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons.

S Garcia, F Herrera - Journal of machine learning research, 2008 - jmlr.org
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

[PDF][PDF] An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

S Garcıa, F Herrera - Journal of Machine Learning Research, 2008 - 150.214.190.154
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

An Extension on" Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons.

S García, F Herrera - Journal of Machine Learning Research, 2008 - search.ebscohost.com
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

[PDF][PDF] An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

S Garcıa, F Herrera - Journal of Machine Learning Research, 2008 - researchgate.net
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

[PDF][PDF] An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

S Garcıa, F Herrera - Journal of Machine Learning Research, 2008 - jmlr.csail.mit.edu
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

[PDF][PDF] An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

S Garcıa, F Herrera - Journal of Machine Learning Research, 2008 - Citeseer
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

[引用][C] An extension on “Statistical comparisons of classifiers over multiple data sets” for all pairwise comparisons

S Garcia - Journal of Machine Learning Theory, 2008 - cir.nii.ac.jp
An extension on “Statistical comparisons of classifiers over multiple data sets” for all pairwise
comparisons | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

[PDF][PDF] An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

S Garcıa, F Herrera - Journal of Machine Learning Research, 2008 - academia.edu
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

S García, F Herrera - Journal of Machine Learning Research, 2008 - jmlr.org
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …

[PDF][PDF] An Extension on “Statistical Comparisons of Classifiers over Multiple Data Sets” for all Pairwise Comparisons

S Garcıa, F Herrera - Journal of Machine Learning Research, 2008 - sci2s.ugr.es
In a recently published paper in JMLR, Demšar (2006) recommends a set of non-parametric
statistical tests and procedures which can be safely used for comparing the performance of …