Luo, Tianyi; Liu, Yang Machine truth serum: a surprisingly popular approach to improving ensemble methods. (English) Zbl 1518.68311 Mach. Learn. 112, No. 3, 789-815 (2023). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{T. Luo} and \textit{Y. Liu}, Mach. Learn. 112, No. 3, 789--815 (2023; Zbl 1518.68311) Full Text: DOI
Bauvin, Baptiste; Capponi, Cécile; Roy, Jean-Francis; Laviolette, François Fast greedy \(\mathcal{C} \)-bound minimization with guarantees. (English) Zbl 1525.68110 Mach. Learn. 109, No. 9-10, 1945-1986 (2020). MSC: 68T05 62F15 62H30 90C90 PDFBibTeX XMLCite \textit{B. Bauvin} et al., Mach. Learn. 109, No. 9--10, 1945--1986 (2020; Zbl 1525.68110) Full Text: DOI
Chehreghani, Morteza Haghir; Chehreghani, Mostafa Haghir Learning representations from dendrograms. (English) Zbl 1524.68264 Mach. Learn. 109, No. 9-10, 1779-1802 (2020). MSC: 68T05 62A09 62H30 PDFBibTeX XMLCite \textit{M. H. Chehreghani} and \textit{M. H. Chehreghani}, Mach. Learn. 109, No. 9--10, 1779--1802 (2020; Zbl 1524.68264) Full Text: DOI arXiv
Petković, Matej; Džeroski, Sašo; Kocev, Dragi Multi-label feature ranking with ensemble methods. (English) Zbl 1512.68285 Mach. Learn. 109, No. 11, 2141-2159 (2020). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{M. Petković} et al., Mach. Learn. 109, No. 11, 2141--2159 (2020; Zbl 1512.68285) Full Text: DOI
Abdallah, Zahraa S.; Gaber, Mohamed Medhat Co-eye: a multi-resolution ensemble classifier for symbolically approximated time series. (English) Zbl 1523.62001 Mach. Learn. 109, No. 11, 2029-2061 (2020). MSC: 62-08 62H30 62M10 68T05 PDFBibTeX XMLCite \textit{Z. S. Abdallah} and \textit{M. M. Gaber}, Mach. Learn. 109, No. 11, 2029--2061 (2020; Zbl 1523.62001) Full Text: DOI
Han, Sunwoo; Kim, Hyunjoong; Lee, Yung-Seop Double random forest. (English) Zbl 1522.68458 Mach. Learn. 109, No. 8, 1569-1586 (2020). MSC: 68T05 62H30 68Q25 PDFBibTeX XMLCite \textit{S. Han} et al., Mach. Learn. 109, No. 8, 1569--1586 (2020; Zbl 1522.68458) Full Text: DOI
Cano, Alberto; Krawczyk, Bartosz Kappa updated ensemble for drifting data stream mining. (English) Zbl 1440.68203 Mach. Learn. 109, No. 1, 175-218 (2020). MSC: 68T05 62H30 68W27 PDFBibTeX XMLCite \textit{A. Cano} and \textit{B. Krawczyk}, Mach. Learn. 109, No. 1, 175--218 (2020; Zbl 1440.68203) Full Text: DOI
Zhou, Joey Tianyi; Tsang, Ivor W.; Ho, Shen-Shyang; Müller, Klaus-Robert \(N\)-ary decomposition for multi-class classification. (English) Zbl 1493.68327 Mach. Learn. 108, No. 5, 809-830 (2019). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{J. T. Zhou} et al., Mach. Learn. 108, No. 5, 809--830 (2019; Zbl 1493.68327) Full Text: DOI
Breskvar, Martin; Kocev, Dragi; Džeroski, Sašo Ensembles for multi-target regression with random output selections. (English) Zbl 1475.68262 Mach. Learn. 107, No. 11, 1673-1709 (2018). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{M. Breskvar} et al., Mach. Learn. 107, No. 11, 1673--1709 (2018; Zbl 1475.68262) Full Text: DOI
Wu, Yu-Ping; Lin, Hsuan-Tien Progressive random \(k\)-labelsets for cost-sensitive multi-label classification. (English) Zbl 1454.62203 Mach. Learn. 106, No. 5, 671-694 (2017). MSC: 62H30 68T05 PDFBibTeX XMLCite \textit{Y.-P. Wu} and \textit{H.-T. Lin}, Mach. Learn. 106, No. 5, 671--694 (2017; Zbl 1454.62203) Full Text: DOI
Conroy, Bryan; Eshelman, Larry; Potes, Cristhian; Xu-Wilson, Minnan A dynamic ensemble approach to robust classification in the presence of missing data. (English) Zbl 1401.68261 Mach. Learn. 102, No. 3, 443-463 (2016). MSC: 68T05 62H30 92C50 PDFBibTeX XMLCite \textit{B. Conroy} et al., Mach. Learn. 102, No. 3, 443--463 (2016; Zbl 1401.68261) Full Text: DOI
Appice, Annalisa; Guccione, Pietro; Malerba, Donato Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. (English) Zbl 1362.68244 Mach. Learn. 103, No. 3, 343-375 (2016). MSC: 68T05 68T10 PDFBibTeX XMLCite \textit{A. Appice} et al., Mach. Learn. 103, No. 3, 343--375 (2016; Zbl 1362.68244) Full Text: DOI
Özöğür-Akyüz, Süreyya; Windeatt, Terry; Smith, Raymond Pruning of error correcting output codes by optimization of accuracy-diversity trade off. (English) Zbl 1343.68203 Mach. Learn. 101, No. 1-3, 253-269 (2015). MSC: 68T05 62H30 94B60 PDFBibTeX XMLCite \textit{S. Özöğür-Akyüz} et al., Mach. Learn. 101, No. 1--3, 253--269 (2015; Zbl 1343.68203) Full Text: DOI
Su, Hongyu; Rousu, Juho Multilabel classification through random graph ensembles. (English) Zbl 1331.68194 Mach. Learn. 99, No. 2, 231-256 (2015). MSC: 68T05 PDFBibTeX XMLCite \textit{H. Su} and \textit{J. Rousu}, Mach. Learn. 99, No. 2, 231--256 (2015; Zbl 1331.68194) Full Text: DOI arXiv
Lourenço, André; Bulò, Samuel Rota; Rebagliati, Nicola; Fred, Ana L. N.; Figueiredo, Mário A. T.; Pelillo, Marcello Probabilistic consensus clustering using evidence accumulation. (English) Zbl 1322.62174 Mach. Learn. 98, No. 1-2, 331-357 (2015). MSC: 62H30 62-07 62B10 PDFBibTeX XMLCite \textit{A. Lourenço} et al., Mach. Learn. 98, No. 1--2, 331--357 (2015; Zbl 1322.62174) Full Text: DOI
Iam-On, Natthakan; Boongoen, Tossapon Comparative study of matrix refinement approaches for ensemble clustering. (English) Zbl 1322.62170 Mach. Learn. 98, No. 1-2, 269-300 (2015). MSC: 62H30 62-07 68T05 PDFBibTeX XMLCite \textit{N. Iam-On} and \textit{T. Boongoen}, Mach. Learn. 98, No. 1--2, 269--300 (2015; Zbl 1322.62170) Full Text: DOI
Gonzàlez, Edgar; Turmo, Jordi Unsupervised ensemble minority clustering. (English) Zbl 1321.68404 Mach. Learn. 98, No. 1-2, 217-268 (2015). MSC: 68T05 62H30 62P20 PDFBibTeX XMLCite \textit{E. Gonzàlez} and \textit{J. Turmo}, Mach. Learn. 98, No. 1--2, 217--268 (2015; Zbl 1321.68404) Full Text: DOI Link
Zimek, Arthur; Vreeken, Jilles The blind men and the elephant: on meeting the problem of multiple truths in data from clustering and pattern mining perspectives. (English) Zbl 1321.68413 Mach. Learn. 98, No. 1-2, 121-155 (2015). MSC: 68T05 62-07 62H30 PDFBibTeX XMLCite \textit{A. Zimek} and \textit{J. Vreeken}, Mach. Learn. 98, No. 1--2, 121--155 (2015; Zbl 1321.68413) Full Text: DOI Link
Sun, Peng; Reid, Mark D.; Zhou, Jie An improved multiclass LogitBoost using adaptive-one-vs-one. (English) Zbl 1319.68195 Mach. Learn. 97, No. 3, 295-326 (2014). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{P. Sun} et al., Mach. Learn. 97, No. 3, 295--326 (2014; Zbl 1319.68195) Full Text: DOI
Bellet, Aurélien; Habrard, Amaury; Morvant, Emilie; Sebban, Marc Learning a priori constrained weighted majority votes. (English) Zbl 1319.68168 Mach. Learn. 97, No. 1-2, 129-154 (2014). MSC: 68T05 62H30 91B12 PDFBibTeX XMLCite \textit{A. Bellet} et al., Mach. Learn. 97, No. 1--2, 129--154 (2014; Zbl 1319.68168) Full Text: DOI
Busa-Fekete, Róbert; Kégl, Balázs; Élteto, Tamás; Szarvas, György Tune and mix: learning to rank using ensembles of calibrated multi-class classifiers. (English) Zbl 1300.68038 Mach. Learn. 93, No. 2-3, 261-292 (2013). MSC: 68T05 PDFBibTeX XMLCite \textit{R. Busa-Fekete} et al., Mach. Learn. 93, No. 2--3, 261--292 (2013; Zbl 1300.68038) Full Text: DOI
Chekina, Lena; Gutfreund, Dan; Kontorovich, Aryeh; Rokach, Lior; Shapira, Bracha Exploiting label dependencies for improved sample complexity. (English) Zbl 1273.68294 Mach. Learn. 91, No. 1, 1-42 (2013). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{L. Chekina} et al., Mach. Learn. 91, No. 1, 1--42 (2013; Zbl 1273.68294) Full Text: DOI
Webb, Geoffrey I.; Boughton, Janice R.; Zheng, Fei; Ting, Kai Ming; Salem, Houssam Learning by extrapolation from marginal to full-multivariate probability distributions: Decreasingly naive Bayesian classification. (English) Zbl 1238.68136 Mach. Learn. 86, No. 2, 233-272 (2012). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{G. I. Webb} et al., Mach. Learn. 86, No. 2, 233--272 (2012; Zbl 1238.68136) Full Text: DOI
Takenouchi, Takashi; Ishii, Shin Ternary Bradley-Terry model-based decoding for multi-class classification and its extensions. (English) Zbl 1237.68167 Mach. Learn. 85, No. 3, 249-272 (2011). MSC: 68T05 62H30 68T10 PDFBibTeX XMLCite \textit{T. Takenouchi} and \textit{S. Ishii}, Mach. Learn. 85, No. 3, 249--272 (2011; Zbl 1237.68167) Full Text: DOI
Singh, Vikas; Mukherjee, Lopamudra; Peng, Jiming; Xu, Jinhui Ensemble clustering using semidefinite programming with applications. (English) Zbl 1470.62096 Mach. Learn. 79, No. 1-2, 177-200 (2010). MSC: 62H30 68T05 90C22 92C55 PDFBibTeX XMLCite \textit{V. Singh} et al., Mach. Learn. 79, No. 1--2, 177--200 (2010; Zbl 1470.62096) Full Text: DOI
Hui, Bei; Yang, Ying; Webb, Geoffrey I. Anytime classification for a pool of instances. (English) Zbl 1473.62222 Mach. Learn. 77, No. 1, 61-102 (2009). MSC: 62H30 68T05 PDFBibTeX XMLCite \textit{B. Hui} et al., Mach. Learn. 77, No. 1, 61--102 (2009; Zbl 1473.62222) Full Text: DOI
Steele, Brian M. Exact bootstrap \(k\)-nearest neighbor learners. (English) Zbl 1470.68179 Mach. Learn. 74, No. 3, 235-255 (2009). MSC: 68T05 62H30 62M20 PDFBibTeX XMLCite \textit{B. M. Steele}, Mach. Learn. 74, No. 3, 235--255 (2009; Zbl 1470.68179) Full Text: DOI
Jing, Yushi; Pavlović, Vladimir; Rehg, James M. Boosted Bayesian network classifiers. (English) Zbl 1470.68121 Mach. Learn. 73, No. 2, 155-184 (2008). MSC: 68T05 62H22 62H30 PDFBibTeX XMLCite \textit{Y. Jing} et al., Mach. Learn. 73, No. 2, 155--184 (2008; Zbl 1470.68121) Full Text: DOI
Yang, Ying; Webb, Geoff; Korb, Kevin; Ting, Kai Ming Classifying under computational resource constraints: anytime classification using probabilistic estimators. (English) Zbl 1470.68203 Mach. Learn. 69, No. 1, 35-53 (2007). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{Y. Yang} et al., Mach. Learn. 69, No. 1, 35--53 (2007; Zbl 1470.68203) Full Text: DOI
Tang, E. K.; Suganthan, P. N.; Yao, X. An analysis of diversity measures. (English) Zbl 1470.68188 Mach. Learn. 65, No. 1, 247-271 (2006). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{E. K. Tang} et al., Mach. Learn. 65, No. 1, 247--271 (2006; Zbl 1470.68188) Full Text: DOI
Geurts, Pierre; Ernst, Damien; Wehenkel, Louis Extremely randomized trees. (English) Zbl 1470.68111 Mach. Learn. 63, No. 1, 3-42 (2006). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{P. Geurts} et al., Mach. Learn. 63, No. 1, 3--42 (2006; Zbl 1470.68111) Full Text: DOI