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Wong, Tzu-Tsung (2017) Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets. Pattern Recognition, 65. 97-107 doi:10.1016/j.patcog.2016.12.018

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Reference TypeJournal (article/letter/editorial)
TitleParametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets
JournalPattern Recognition
AuthorsWong, Tzu-TsungAuthor
Year2017 (May)Volume65
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2016.12.018Search in ResearchGate
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Mindat Ref. ID9366881Long-form Identifiermindat:1:5:9366881:9
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Full ReferenceWong, Tzu-Tsung (2017) Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets. Pattern Recognition, 65. 97-107 doi:10.1016/j.patcog.2016.12.018
Plain TextWong, Tzu-Tsung (2017) Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets. Pattern Recognition, 65. 97-107 doi:10.1016/j.patcog.2016.12.018
In(2017) Pattern Recognition Vol. 65. Elsevier BV

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Wong, Tzu-Tsung (2015) Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation. Pattern Recognition, 48 (9). 2839-2846 doi:10.1016/j.patcog.2015.03.009
Wong, Tzu-Tsung (2022) Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets. IEEE Transactions on Knowledge and Data Engineering, 34 (2) 753-763 doi:10.1109/tkde.2020.2986749
Wong, Tzu-Tsung, Yang, Nai-Yu (2017) Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation. IEEE Transactions on Knowledge and Data Engineering, 29 (11) 2417-2427 doi:10.1109/tkde.2017.2740926
Jiang, Gaoxia, Wang, Wenjian (2017) Error estimation based on variance analysis of k -fold cross-validation. Pattern Recognition, 69. 94-106 doi:10.1016/j.patcog.2017.03.025
Wong, Tzu-Tsung, Chang, Liang-Hao (2011) Individual attribute prior setting methods for naïve Bayesian classifiers. Pattern Recognition, 44 (5). 1041-1047 doi:10.1016/j.patcog.2010.11.002
Wong, Tzu-Tsung, Yeh, Po-Yang (2020) Reliable Accuracy Estimates from k-Fold Cross Validation. IEEE Transactions on Knowledge and Data Engineering, 32 (8) 1586-1594 doi:10.1109/tkde.2019.2912815
Wong, Tzu-Tsung (2012) A hybrid discretization method for naïve Bayesian classifiers. Pattern Recognition, 45 (6). 2321-2325 doi:10.1016/j.patcog.2011.12.014
Rezaei, Mohammad, Fränti, Pasi (2023) K-sets and k-swaps algorithms for clustering sets. Pattern Recognition, 139. 109454 doi:10.1016/j.patcog.2023.109454
Ulaş, Aydın, Yıldız, Olcay Taner, Alpaydın, Ethem (2012) Cost-conscious comparison of supervised learning algorithms over multiple data sets. Pattern Recognition, 45 (4). 1772-1781 doi:10.1016/j.patcog.2011.10.005
Kokiopoulou, E., Frossard, P. (2010) Graph-based classification of multiple observation sets. Pattern Recognition, 43 (12). 3988-3997 doi:10.1016/j.patcog.2010.07.016
Wong, Tzu-Tsung, Liu, Chao-Rui (2016) An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models. Pattern Recognition, 60. 62-71 doi:10.1016/j.patcog.2016.04.019
 
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