Ensemble learning (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Ensemble learning" in English language version.

refsWebsite

Global rank English rank

54doi.org

2^nd place

19semanticscholar.org

11^th place

8^th place

7psu.edu

207^th place

136^th place

7wikidata.org

43^rd place

161^st place

6harvard.edu

18^th place

17^th place

5arxiv.org

69^th place

59^th place

5worldcat.org

5^th place

4springer.com

274^th place

309^th place

4nih.gov

4^th place

3handle.net

102^nd place

76^th place

3r-project.org

7,871^st place

5,225^th place

3byu.edu

1,687^th place

1,074^th place

2github.com

383^rd place

320^th place

1kuleuven.be

4,725^th place

3,556^th place

1scholar.google.com

1,697^th place

1,040^th place

1neurips.cc

low place

1clei.org

low place

1mlr.press

low place

1acm.org

1,185^th place

840^th place

1projecteuclid.org

3,707^th place

2,409^th place

1wikiversity.org

5,725^th place

low place

1scikit-learn.org

low place

1jmlr.org

low place

1core.ac.uk

1,734^th place

1,312^th place

1mathworks.com

6,214^th place

4,509^th place

1charlotte.edu

low place

1osu.edu

2,333^rd place

1,632^nd place

1unitn.it

low place

1uni-augsburg.de

9,325^th place

9,314^th place

acm.org

dl.acm.org

R. Bonab, Hamed; Can, Fazli (2016). A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams. CIKM. USA: ACM. p. 2053.

arxiv.org

Opitz, D.; Maclin, R. (1999). "Popular ensemble methods: An empirical study". Journal of Artificial Intelligence Research. 11: 169–198. arXiv:1106.0257. doi:10.1613/jair.614.
Bonab, Hamed; Can, Fazli (2017). "Less is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers". arXiv:1709.02925 [cs.LG].
Shoham, Haim; Permuter (2020). "Amended Cross Entropy Cost: Framework For Explicit Diversity Encouragement". arXiv:2007.08140 [cs.LG]. {{cite arXiv}}: Unknown parameter |DUPLICATE_first1= ignored (help)
Ozay, M.; Yarman Vural, F. T. (2013). "A New Fuzzy Stacked Generalization Technique and Analysis of its Performance". arXiv:1204.0171 [cs.LG].
Sill, J.; Takacs, G.; Mackey, L.; Lin, D. (2009). "Feature-Weighted Linear Stacking". arXiv:0911.0460 [cs.LG].

byu.edu

axon.cs.byu.edu

Gashler, M.; Giraud-Carrier, C.; Martinez, T. (2008). "Decision Tree Ensemble: Small Heterogeneous is Better Than Large Homogeneous" (PDF). 2008 Seventh International Conference on Machine Learning and Applications. Vol. 2008. pp. 900–905. doi:10.1109/ICMLA.2008.154. ISBN 978-0-7695-3495-4. S2CID 614810.
Monteith, Kristine; Carroll, James; Seppi, Kevin; Martinez, Tony. (2011). Turning Bayesian Model Averaging into Bayesian Model Combination (PDF). Proceedings of the International Joint Conference on Neural Networks IJCNN'11. pp. 2657–2663.

scholarsarchive.byu.edu

Gashler, M.; Giraud-Carrier, C.; Martinez, T. (2008). "Decision Tree Ensemble: Small Heterogeneous is Better Than Large Homogeneous" (PDF). 2008 Seventh International Conference on Machine Learning and Applications. Vol. 2008. pp. 900–905. doi:10.1109/ICMLA.2008.154. ISBN 978-0-7695-3495-4. S2CID 614810.

charlotte.edu

pages.charlotte.edu

Liu, Dan; Toman, Elizabeth; Fuller, Zane; Chen, Gang; Londo, Alexis; Xuesong, Zhang; Kaiguang, Zhao (2018). "Integration of historical map and aerial imagery to characterize long-term land-use change and landscape dynamics: An object-based analysis via Random Forests" (PDF). Ecological Indicators. 95 (1): 595–605. Bibcode:2018EcInd..95..595L. doi:10.1016/j.ecolind.2018.08.004. S2CID 92025959.

clei.org

Adeva, J. J. García; Cerviño, Ulises; Calvo, R. (December 2005). "Accuracy and Diversity in Ensembles of Text Categorisers" (PDF). CLEI Journal. 8 (2): 1:1–1:12. doi:10.19153/cleiej.8.2.1 (inactive 2024-04-17).{{cite journal}}: CS1 maint: DOI inactive as of April 2024 (link)

core.ac.uk

Amini, Shahram M.; Parmeter, Christopher F. (2011). "Bayesian model averaging in R" (PDF). Journal of Economic and Social Measurement. 36 (4): 253–287. doi:10.3233/JEM-2011-0350.

doi.org

Opitz, D.; Maclin, R. (1999). "Popular ensemble methods: An empirical study". Journal of Artificial Intelligence Research. 11: 169–198. arXiv:1106.0257. doi:10.1613/jair.614.
Polikar, R. (2006). "Ensemble based systems in decision making". IEEE Circuits and Systems Magazine. 6 (3): 21–45. doi:10.1109/MCAS.2006.1688199. S2CID 18032543.
Rokach, L. (2010). "Ensemble-based classifiers". Artificial Intelligence Review. 33 (1–2): 1–39. doi:10.1007/s10462-009-9124-7. hdl:11323/1748. S2CID 11149239.
Blockeel H. (2011). "Hypothesis Space". Encyclopedia of Machine Learning. pp. 511–513. doi:10.1007/978-0-387-30164-8_373. ISBN 978-0-387-30768-8.
Adeva, J. J. García; Cerviño, Ulises; Calvo, R. (December 2005). "Accuracy and Diversity in Ensembles of Text Categorisers" (PDF). CLEI Journal. 8 (2): 1:1–1:12. doi:10.19153/cleiej.8.2.1 (inactive 2024-04-17).{{cite journal}}: CS1 maint: DOI inactive as of April 2024 (link)
Gashler, M.; Giraud-Carrier, C.; Martinez, T. (2008). "Decision Tree Ensemble: Small Heterogeneous is Better Than Large Homogeneous" (PDF). 2008 Seventh International Conference on Machine Learning and Applications. Vol. 2008. pp. 900–905. doi:10.1109/ICMLA.2008.154. ISBN 978-0-7695-3495-4. S2CID 614810.
Liu, Y.; Yao, X. (December 1999). "Ensemble learning via negative correlation". Neural Networks. 12 (10): 1399–1404. doi:10.1016/S0893-6080(99)00073-8. ISSN 0893-6080. PMID 12662623.
Shoham, Ron; Permuter, Haim (2019). "Amended Cross-Entropy Cost: An Approach for Encouraging Diversity in Classification Ensemble (Brief Announcement)". Cyber Security Cryptography and Machine Learning. Lecture Notes in Computer Science. Vol. 11527. pp. 202–207. doi:10.1007/978-3-030-20951-3_18. ISBN 978-3-030-20950-6. S2CID 189926552.
Wu, S., Li, J., & Ding, W. (2023) A geometric framework for multiclass ensemble classifiers, Machine Learning, 112(12), pp. 4929-4958. doi:10.1007/S10994-023-06406-W
Salman, R., Alzaatreh, A., Sulieman, H., & Faisal, S. (2021). A Bootstrap Framework for Aggregating within and between Feature Selection Methods. Entropy (Basel, Switzerland), 23(2), 200. doi:10.3390/e23020200
Breiman, L., Bagging Predictors, Machine Learning, 24(2), pp.123-140, 1996. doi:10.1007/BF00058655
Brodeur, Z. P., Herman, J. D., & Steinschneider, S. (2020). Bootstrap aggregation and cross-validation methods to reduce overfitting in reservoir control policy search. Water Resources Research, 56, e2020WR027184. doi:10.1029/2020WR027184
Adrian Raftery (1995). "Bayesian model selection in social research". Sociological Methodology: 111–196. doi:10.2307/271063. ISSN 0081-1750. Wikidata Q91670340.
Haussler, David; Kearns, Michael; Schapire, Robert E. (1994). "Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension". Machine Learning. 14: 83–113. doi:10.1007/bf00993163.
Bensusan, Hilan; Giraud-Carrier, Christophe (2000). "Discovering Task Neighbourhoods through Landmark Learning Performances" (PDF). Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science. Vol. 1910. pp. 325–330. doi:10.1007/3-540-45372-5_32. ISBN 978-3-540-41066-9.
Shoham, Ron; Permuter, Haim (2019). Amended Cross-Entropy Cost: An Approach for Encouraging Diversity in Classification Ensemble (Brief Announcement). Lecture Notes in Computer Science. Vol. 11527. pp. 202–207. doi:10.1007/978-3-030-20951-3_18. ISBN 978-3-030-20950-6. {{cite book}}: |journal= ignored (help)
Wolpert (1992). "Stacked Generalization". Neural Networks. 5 (2): 241–259. doi:10.1016/s0893-6080(05)80023-1.
Breiman, Leo (1996). "Stacked regressions". Machine Learning. 24: 49–64. doi:10.1007/BF00117832.
Smyth, Padhraic; Wolpert, David (1999). "Linearly Combining Density Estimators via Stacking" (PDF). Machine Learning. 36 (1): 59–83. doi:10.1023/A:1007511322260. S2CID 16006860.
Wolpert, David H.; MacReady, William G. (1999). "An Efficient Method to Estimate Bagging's Generalization Error" (PDF). Machine Learning. 35 (1): 41–55. doi:10.1023/A:1007519102914. S2CID 14357246.
Amini, Shahram M.; Parmeter, Christopher F. (2011). "Bayesian model averaging in R" (PDF). Journal of Economic and Social Measurement. 36 (4): 253–287. doi:10.3233/JEM-2011-0350.
Woźniak, Michał; Graña, Manuel; Corchado, Emilio (March 2014). "A survey of multiple classifier systems as hybrid systems". Information Fusion. 16: 3–17. doi:10.1016/j.inffus.2013.04.006. hdl:10366/134320. S2CID 11632848.
Rodriguez-Galiano, V.F.; Ghimire, B.; Rogan, J.; Chica-Olmo, M.; Rigol-Sanchez, J.P. (January 2012). "An assessment of the effectiveness of a random forest classifier for land-cover classification". ISPRS Journal of Photogrammetry and Remote Sensing. 67: 93–104. Bibcode:2012JPRS...67...93R. doi:10.1016/j.isprsjprs.2011.11.002.
Giacinto, Giorgio; Roli, Fabio (August 2001). "Design of effective neural network ensembles for image classification purposes". Image and Vision Computing. 19 (9–10): 699–707. CiteSeerX 10.1.1.11.5820. doi:10.1016/S0262-8856(01)00045-2.
Xia, Junshi; Yokoya, Naoto; Iwasaki, Yakira (March 2017). "A novel ensemble classifier of hyperspectral and LiDAR data using morphological features". 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 6185–6189. doi:10.1109/ICASSP.2017.7953345. ISBN 978-1-5090-4117-6. S2CID 40210273.
Liu, Dan; Toman, Elizabeth; Fuller, Zane; Chen, Gang; Londo, Alexis; Xuesong, Zhang; Kaiguang, Zhao (2018). "Integration of historical map and aerial imagery to characterize long-term land-use change and landscape dynamics: An object-based analysis via Random Forests" (PDF). Ecological Indicators. 95 (1): 595–605. Bibcode:2018EcInd..95..595L. doi:10.1016/j.ecolind.2018.08.004. S2CID 92025959.
Giacinto, G.; Roli, F.; Fumera, G. (September 2000). "Design of effective multiple classifier systems by clustering of classifiers". Proceedings 15th International Conference on Pattern Recognition. ICPR-2000. Vol. 2. pp. 160–163. CiteSeerX 10.1.1.11.5328. doi:10.1109/ICPR.2000.906039. ISBN 978-0-7695-0750-7. S2CID 2625643.
Du, Peijun; Liu, Sicong; Xia, Junshi; Zhao, Yindi (January 2013). "Information fusion techniques for change detection from multi-temporal remote sensing images". Information Fusion. 14 (1): 19–27. doi:10.1016/j.inffus.2012.05.003.
Zhao, Kaiguang; Wulder, Michael A; Hu, Tongx; Bright, Ryan; Wu, Qiusheng; Qin, Haiming; Li, Yang (2019). "Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm". Remote Sensing of Environment. 232: 111181. Bibcode:2019RSEnv.23211181Z. doi:10.1016/j.rse.2019.04.034. hdl:11250/2651134. S2CID 201310998.
Bruzzone, Lorenzo; Cossu, Roberto; Vernazza, Gianni (December 2002). "Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images" (PDF). Information Fusion. 3 (4): 289–297. doi:10.1016/S1566-2535(02)00091-X.
Theodomir, Mugiraneza; Nascetti, Andrea; Ban., Yifang (2020). "Continuous monitoring of urban land cover change trajectories with landsat time series and landtrendr-google earth engine cloud computing". Remote Sensing. 12 (18): 2883. Bibcode:2020RemS...12.2883M. doi:10.3390/rs12182883.
Raj Kumar, P. Arun; Selvakumar, S. (July 2011). "Distributed denial of service attack detection using an ensemble of neural classifier". Computer Communications. 34 (11): 1328–1341. doi:10.1016/j.comcom.2011.01.012.
Shabtai, Asaf; Moskovitch, Robert; Elovici, Yuval; Glezer, Chanan (February 2009). "Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey". Information Security Technical Report. 14 (1): 16–29. doi:10.1016/j.istr.2009.03.003.
Zhang, Boyun; Yin, Jianping; Hao, Jingbo; Zhang, Dingxing; Wang, Shulin (2007). "Malicious Codes Detection Based on Ensemble Learning". Autonomic and Trusted Computing. Lecture Notes in Computer Science. Vol. 4610. pp. 468–477. doi:10.1007/978-3-540-73547-2_48. ISBN 978-3-540-73546-5.
Menahem, Eitan; Shabtai, Asaf; Rokach, Lior; Elovici, Yuval (February 2009). "Improving malware detection by applying multi-inducer ensemble". Computational Statistics & Data Analysis. 53 (4): 1483–1494. CiteSeerX 10.1.1.150.2722. doi:10.1016/j.csda.2008.10.015.
Locasto, Michael E.; Wang, Ke; Keromytis, Angeles D.; Salvatore, J. Stolfo (2005). "FLIPS: Hybrid Adaptive Intrusion Prevention". Recent Advances in Intrusion Detection. Lecture Notes in Computer Science. Vol. 3858. pp. 82–101. CiteSeerX 10.1.1.60.3798. doi:10.1007/11663812_5. ISBN 978-3-540-31778-4.
Giacinto, Giorgio; Perdisci, Roberto; Del Rio, Mauro; Roli, Fabio (January 2008). "Intrusion detection in computer networks by a modular ensemble of one-class classifiers". Information Fusion. 9 (1): 69–82. CiteSeerX 10.1.1.69.9132. doi:10.1016/j.inffus.2006.10.002.
Mu, Xiaoyan; Lu, Jiangfeng; Watta, Paul; Hassoun, Mohamad H. (July 2009). "Weighted voting-based ensemble classifiers with application to human face recognition and voice recognition". 2009 International Joint Conference on Neural Networks. pp. 2168–2171. doi:10.1109/IJCNN.2009.5178708. ISBN 978-1-4244-3548-7. S2CID 18850747.
Yu, Su; Shan, Shiguang; Chen, Xilin; Gao, Wen (April 2006). "Hierarchical ensemble of Gabor Fisher classifier for face recognition". 7th International Conference on Automatic Face and Gesture Recognition (FGR06). pp. 91–96. doi:10.1109/FGR.2006.64. ISBN 978-0-7695-2503-7. S2CID 1513315.
Su, Y.; Shan, S.; Chen, X.; Gao, W. (September 2006). "Patch-Based Gabor Fisher Classifier for Face Recognition". 18th International Conference on Pattern Recognition (ICPR'06). Vol. 2. pp. 528–531. doi:10.1109/ICPR.2006.917. ISBN 978-0-7695-2521-1. S2CID 5381806.
Liu, Yang; Lin, Yongzheng; Chen, Yuehui (July 2008). "Ensemble Classification Based on ICA for Face Recognition". 2008 Congress on Image and Signal Processing. pp. 144–148. doi:10.1109/CISP.2008.581. ISBN 978-0-7695-3119-9. S2CID 16248842.
Rieger, Steven A.; Muraleedharan, Rajani; Ramachandran, Ravi P. (2014). "Speech based emotion recognition using spectral feature extraction and an ensemble of KNN classifiers". The 9th International Symposium on Chinese Spoken Language Processing. pp. 589–593. doi:10.1109/ISCSLP.2014.6936711. ISBN 978-1-4799-4219-0. S2CID 31370450.
Krajewski, Jarek; Batliner, Anton; Kessel, Silke (October 2010). "Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence - A Pilot Study". 2010 20th International Conference on Pattern Recognition (PDF). pp. 3716–3719. doi:10.1109/ICPR.2010.905. ISBN 978-1-4244-7542-1. S2CID 15431610.
Rani, P. Ithaya; Muneeswaran, K. (25 May 2016). "Recognize the facial emotion in video sequences using eye and mouth temporal Gabor features". Multimedia Tools and Applications. 76 (7): 10017–10040. doi:10.1007/s11042-016-3592-y. S2CID 20143585.
Rani, P. Ithaya; Muneeswaran, K. (August 2016). "Facial Emotion Recognition Based on Eye and Mouth Regions". International Journal of Pattern Recognition and Artificial Intelligence. 30 (7): 1655020. doi:10.1142/S021800141655020X.
Rani, P. Ithaya; Muneeswaran, K (28 March 2018). "Emotion recognition based on facial components". Sādhanā. 43 (3). doi:10.1007/s12046-018-0801-6.
Louzada, Francisco; Ara, Anderson (October 2012). "Bagging k-dependence probabilistic networks: An alternative powerful fraud detection tool". Expert Systems with Applications. 39 (14): 11583–11592. doi:10.1016/j.eswa.2012.04.024.
Sundarkumar, G. Ganesh; Ravi, Vadlamani (January 2015). "A novel hybrid undersampling method for mining unbalanced datasets in banking and insurance". Engineering Applications of Artificial Intelligence. 37: 368–377. doi:10.1016/j.engappai.2014.09.019.
Kim, Yoonseong; Sohn, So Young (August 2012). "Stock fraud detection using peer group analysis". Expert Systems with Applications. 39 (10): 8986–8992. doi:10.1016/j.eswa.2012.02.025.
Savio, A.; García-Sebastián, M.T.; Chyzyk, D.; Hernandez, C.; Graña, M.; Sistiaga, A.; López de Munain, A.; Villanúa, J. (August 2011). "Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI". Computers in Biology and Medicine. 41 (8): 600–610. doi:10.1016/j.compbiomed.2011.05.010. PMID 21621760.
Ayerdi, B.; Savio, A.; Graña, M. (June 2013). "Meta-ensembles of Classifiers for Alzheimer's Disease Detection Using Independent ROI Features". Natural and Artificial Computation in Engineering and Medical Applications. Lecture Notes in Computer Science. Vol. 7931. pp. 122–130. doi:10.1007/978-3-642-38622-0_13. ISBN 978-3-642-38621-3.
Gu, Quan; Ding, Yong-Sheng; Zhang, Tong-Liang (April 2015). "An ensemble classifier based prediction of G-protein-coupled receptor classes in low homology". Neurocomputing. 154: 110–118. doi:10.1016/j.neucom.2014.12.013.
Xue, Dan; Zhou, Xiaomin; Li, Chen; Yao, Yudong; Rahaman, Md Mamunur; Zhang, Jinghua; Chen, Hao; Zhang, Jinpeng; Qi, Shouliang; Sun, Hongzan (2020). "An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification". IEEE Access. 8: 104603–104618. Bibcode:2020IEEEA...8j4603X. doi:10.1109/ACCESS.2020.2999816. ISSN 2169-3536. S2CID 219689893.
Manna, Ankur; Kundu, Rohit; Kaplun, Dmitrii; Sinitca, Aleksandr; Sarkar, Ram (December 2021). "A fuzzy rank-based ensemble of CNN models for classification of cervical cytology". Scientific Reports. 11 (1): 14538. Bibcode:2021NatSR..1114538M. doi:10.1038/s41598-021-93783-8. ISSN 2045-2322. PMC 8282795. PMID 34267261.

github.com

Adrian Raftery; Jennifer A. Hoeting; Chris Volinsky; Ian Painter; Ka Yee Yeung, BMA: Bayesian Model Averaging, Wikidata Q91674106.
Li, Yang; Zhao, Kaiguang; Hu, Tongxi; Zhang, Xuesong. "BEAST: A Bayesian Ensemble Algorithm for Change-Point Detection and Time Series Decomposition". GitHub.

handle.net

hdl.handle.net

Rokach, L. (2010). "Ensemble-based classifiers". Artificial Intelligence Review. 33 (1–2): 1–39. doi:10.1007/s10462-009-9124-7. hdl:11323/1748. S2CID 11149239.
Woźniak, Michał; Graña, Manuel; Corchado, Emilio (March 2014). "A survey of multiple classifier systems as hybrid systems". Information Fusion. 16: 3–17. doi:10.1016/j.inffus.2013.04.006. hdl:10366/134320. S2CID 11632848.
Zhao, Kaiguang; Wulder, Michael A; Hu, Tongx; Bright, Ryan; Wu, Qiusheng; Qin, Haiming; Li, Yang (2019). "Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm". Remote Sensing of Environment. 232: 111181. Bibcode:2019RSEnv.23211181Z. doi:10.1016/j.rse.2019.04.034. hdl:11250/2651134. S2CID 201310998.

harvard.edu

ui.adsabs.harvard.edu

Rodriguez-Galiano, V.F.; Ghimire, B.; Rogan, J.; Chica-Olmo, M.; Rigol-Sanchez, J.P. (January 2012). "An assessment of the effectiveness of a random forest classifier for land-cover classification". ISPRS Journal of Photogrammetry and Remote Sensing. 67: 93–104. Bibcode:2012JPRS...67...93R. doi:10.1016/j.isprsjprs.2011.11.002.
Liu, Dan; Toman, Elizabeth; Fuller, Zane; Chen, Gang; Londo, Alexis; Xuesong, Zhang; Kaiguang, Zhao (2018). "Integration of historical map and aerial imagery to characterize long-term land-use change and landscape dynamics: An object-based analysis via Random Forests" (PDF). Ecological Indicators. 95 (1): 595–605. Bibcode:2018EcInd..95..595L. doi:10.1016/j.ecolind.2018.08.004. S2CID 92025959.
Zhao, Kaiguang; Wulder, Michael A; Hu, Tongx; Bright, Ryan; Wu, Qiusheng; Qin, Haiming; Li, Yang (2019). "Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm". Remote Sensing of Environment. 232: 111181. Bibcode:2019RSEnv.23211181Z. doi:10.1016/j.rse.2019.04.034. hdl:11250/2651134. S2CID 201310998.
Theodomir, Mugiraneza; Nascetti, Andrea; Ban., Yifang (2020). "Continuous monitoring of urban land cover change trajectories with landsat time series and landtrendr-google earth engine cloud computing". Remote Sensing. 12 (18): 2883. Bibcode:2020RemS...12.2883M. doi:10.3390/rs12182883.
Xue, Dan; Zhou, Xiaomin; Li, Chen; Yao, Yudong; Rahaman, Md Mamunur; Zhang, Jinghua; Chen, Hao; Zhang, Jinpeng; Qi, Shouliang; Sun, Hongzan (2020). "An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification". IEEE Access. 8: 104603–104618. Bibcode:2020IEEEA...8j4603X. doi:10.1109/ACCESS.2020.2999816. ISSN 2169-3536. S2CID 219689893.
Manna, Ankur; Kundu, Rohit; Kaplun, Dmitrii; Sinitca, Aleksandr; Sarkar, Ram (December 2021). "A fuzzy rank-based ensemble of CNN models for classification of cervical cytology". Scientific Reports. 11 (1): 14538. Bibcode:2021NatSR..1114538M. doi:10.1038/s41598-021-93783-8. ISSN 2045-2322. PMC 8282795. PMID 34267261.

jmlr.org

Clarke, B., Bayes model averaging and stacking when model approximation error cannot be ignored, Journal of Machine Learning Research, pp 683-712, 2003

kuleuven.be

lirias.kuleuven.be

Blockeel H. (2011). "Hypothesis Space". Encyclopedia of Machine Learning. pp. 511–513. doi:10.1007/978-0-387-30164-8_373. ISBN 978-0-387-30768-8.

mathworks.com

uk.mathworks.com

"Classification Ensembles". MATLAB & Simulink. Retrieved June 8, 2017.

mlr.press

proceedings.mlr.press

Terufumi Morishita et al, Rethinking Fano’s Inequality in Ensemble Learning, International Conference on Machine Learning, 2022

neurips.cc

proceedings.neurips.cc

Sollich, P. and Krogh, A., Learning with ensembles: How overfitting can be useful, Advances in Neural Information Processing Systems, volume 8, pp. 190-196, 1996.

nih.gov

pubmed.ncbi.nlm.nih.gov

Liu, Y.; Yao, X. (December 1999). "Ensemble learning via negative correlation". Neural Networks. 12 (10): 1399–1404. doi:10.1016/S0893-6080(99)00073-8. ISSN 0893-6080. PMID 12662623.
Savio, A.; García-Sebastián, M.T.; Chyzyk, D.; Hernandez, C.; Graña, M.; Sistiaga, A.; López de Munain, A.; Villanúa, J. (August 2011). "Neurocognitive disorder detection based on feature vectors extracted from VBM analysis of structural MRI". Computers in Biology and Medicine. 41 (8): 600–610. doi:10.1016/j.compbiomed.2011.05.010. PMID 21621760.
Manna, Ankur; Kundu, Rohit; Kaplun, Dmitrii; Sinitca, Aleksandr; Sarkar, Ram (December 2021). "A fuzzy rank-based ensemble of CNN models for classification of cervical cytology". Scientific Reports. 11 (1): 14538. Bibcode:2021NatSR..1114538M. doi:10.1038/s41598-021-93783-8. ISSN 2045-2322. PMC 8282795. PMID 34267261.

ncbi.nlm.nih.gov

Manna, Ankur; Kundu, Rohit; Kaplun, Dmitrii; Sinitca, Aleksandr; Sarkar, Ram (December 2021). "A fuzzy rank-based ensemble of CNN models for classification of cervical cytology". Scientific Reports. 11 (1): 14538. Bibcode:2021NatSR..1114538M. doi:10.1038/s41598-021-93783-8. ISSN 2045-2322. PMC 8282795. PMID 34267261.

osu.edu

go.osu.edu

Zhao, Kaiguang; Wulder, Michael A; Hu, Tongx; Bright, Ryan; Wu, Qiusheng; Qin, Haiming; Li, Yang (2019). "Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm". Remote Sensing of Environment. 232: 111181. Bibcode:2019RSEnv.23211181Z. doi:10.1016/j.rse.2019.04.034. hdl:11250/2651134. S2CID 201310998.

projecteuclid.org

e.g., Jennifer A. Hoeting; David Madigan; Adrian Raftery; Chris Volinsky (1999). "Bayesian Model Averaging: A Tutorial". Statistical Science. ISSN 0883-4237. Wikidata Q98974344.

psu.edu

citeseerx.ist.psu.edu

Brown, G. and Wyatt, J. and Harris, R. and Yao, X., Diversity creation methods: a survey and categorisation., Information Fusion, 6(1), pp.5-20, 2005.
Saso Dzeroski, Bernard Zenko, Is Combining Classifiers Better than Selecting the Best One, Machine Learning, 2004, pp. 255-273
Giacinto, Giorgio; Roli, Fabio (August 2001). "Design of effective neural network ensembles for image classification purposes". Image and Vision Computing. 19 (9–10): 699–707. CiteSeerX 10.1.1.11.5820. doi:10.1016/S0262-8856(01)00045-2.
Giacinto, G.; Roli, F.; Fumera, G. (September 2000). "Design of effective multiple classifier systems by clustering of classifiers". Proceedings 15th International Conference on Pattern Recognition. ICPR-2000. Vol. 2. pp. 160–163. CiteSeerX 10.1.1.11.5328. doi:10.1109/ICPR.2000.906039. ISBN 978-0-7695-0750-7. S2CID 2625643.
Menahem, Eitan; Shabtai, Asaf; Rokach, Lior; Elovici, Yuval (February 2009). "Improving malware detection by applying multi-inducer ensemble". Computational Statistics & Data Analysis. 53 (4): 1483–1494. CiteSeerX 10.1.1.150.2722. doi:10.1016/j.csda.2008.10.015.
Locasto, Michael E.; Wang, Ke; Keromytis, Angeles D.; Salvatore, J. Stolfo (2005). "FLIPS: Hybrid Adaptive Intrusion Prevention". Recent Advances in Intrusion Detection. Lecture Notes in Computer Science. Vol. 3858. pp. 82–101. CiteSeerX 10.1.1.60.3798. doi:10.1007/11663812_5. ISBN 978-3-540-31778-4.
Giacinto, Giorgio; Perdisci, Roberto; Del Rio, Mauro; Roli, Fabio (January 2008). "Intrusion detection in computer networks by a modular ensemble of one-class classifiers". Information Fusion. 9 (1): 69–82. CiteSeerX 10.1.1.69.9132. doi:10.1016/j.inffus.2006.10.002.

r-project.org

cran.r-project.org

"BMS: Bayesian Model Averaging Library". The Comprehensive R Archive Network. 2015-11-24. Retrieved September 9, 2016.
"BAS: Bayesian Model Averaging using Bayesian Adaptive Sampling". The Comprehensive R Archive Network. Retrieved September 9, 2016.
"BMA: Bayesian Model Averaging". The Comprehensive R Archive Network. Retrieved September 9, 2016.

scholar.google.com

Ibomoiye Domor Mienye, Yanxia Sun (2022). A Survey of Ensemble Learning: Concepts, Algorithms, Applications and Prospects.

scikit-learn.org

"1.11. Ensemble methods".

semanticscholar.org

api.semanticscholar.org

Polikar, R. (2006). "Ensemble based systems in decision making". IEEE Circuits and Systems Magazine. 6 (3): 21–45. doi:10.1109/MCAS.2006.1688199. S2CID 18032543.
Rokach, L. (2010). "Ensemble-based classifiers". Artificial Intelligence Review. 33 (1–2): 1–39. doi:10.1007/s10462-009-9124-7. hdl:11323/1748. S2CID 11149239.
Gashler, M.; Giraud-Carrier, C.; Martinez, T. (2008). "Decision Tree Ensemble: Small Heterogeneous is Better Than Large Homogeneous" (PDF). 2008 Seventh International Conference on Machine Learning and Applications. Vol. 2008. pp. 900–905. doi:10.1109/ICMLA.2008.154. ISBN 978-0-7695-3495-4. S2CID 614810.
Shoham, Ron; Permuter, Haim (2019). "Amended Cross-Entropy Cost: An Approach for Encouraging Diversity in Classification Ensemble (Brief Announcement)". Cyber Security Cryptography and Machine Learning. Lecture Notes in Computer Science. Vol. 11527. pp. 202–207. doi:10.1007/978-3-030-20951-3_18. ISBN 978-3-030-20950-6. S2CID 189926552.
Smyth, Padhraic; Wolpert, David (1999). "Linearly Combining Density Estimators via Stacking" (PDF). Machine Learning. 36 (1): 59–83. doi:10.1023/A:1007511322260. S2CID 16006860.
Wolpert, David H.; MacReady, William G. (1999). "An Efficient Method to Estimate Bagging's Generalization Error" (PDF). Machine Learning. 35 (1): 41–55. doi:10.1023/A:1007519102914. S2CID 14357246.
Woźniak, Michał; Graña, Manuel; Corchado, Emilio (March 2014). "A survey of multiple classifier systems as hybrid systems". Information Fusion. 16: 3–17. doi:10.1016/j.inffus.2013.04.006. hdl:10366/134320. S2CID 11632848.
Xia, Junshi; Yokoya, Naoto; Iwasaki, Yakira (March 2017). "A novel ensemble classifier of hyperspectral and LiDAR data using morphological features". 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). pp. 6185–6189. doi:10.1109/ICASSP.2017.7953345. ISBN 978-1-5090-4117-6. S2CID 40210273.
Liu, Dan; Toman, Elizabeth; Fuller, Zane; Chen, Gang; Londo, Alexis; Xuesong, Zhang; Kaiguang, Zhao (2018). "Integration of historical map and aerial imagery to characterize long-term land-use change and landscape dynamics: An object-based analysis via Random Forests" (PDF). Ecological Indicators. 95 (1): 595–605. Bibcode:2018EcInd..95..595L. doi:10.1016/j.ecolind.2018.08.004. S2CID 92025959.
Giacinto, G.; Roli, F.; Fumera, G. (September 2000). "Design of effective multiple classifier systems by clustering of classifiers". Proceedings 15th International Conference on Pattern Recognition. ICPR-2000. Vol. 2. pp. 160–163. CiteSeerX 10.1.1.11.5328. doi:10.1109/ICPR.2000.906039. ISBN 978-0-7695-0750-7. S2CID 2625643.
Zhao, Kaiguang; Wulder, Michael A; Hu, Tongx; Bright, Ryan; Wu, Qiusheng; Qin, Haiming; Li, Yang (2019). "Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm". Remote Sensing of Environment. 232: 111181. Bibcode:2019RSEnv.23211181Z. doi:10.1016/j.rse.2019.04.034. hdl:11250/2651134. S2CID 201310998.
Mu, Xiaoyan; Lu, Jiangfeng; Watta, Paul; Hassoun, Mohamad H. (July 2009). "Weighted voting-based ensemble classifiers with application to human face recognition and voice recognition". 2009 International Joint Conference on Neural Networks. pp. 2168–2171. doi:10.1109/IJCNN.2009.5178708. ISBN 978-1-4244-3548-7. S2CID 18850747.
Yu, Su; Shan, Shiguang; Chen, Xilin; Gao, Wen (April 2006). "Hierarchical ensemble of Gabor Fisher classifier for face recognition". 7th International Conference on Automatic Face and Gesture Recognition (FGR06). pp. 91–96. doi:10.1109/FGR.2006.64. ISBN 978-0-7695-2503-7. S2CID 1513315.
Su, Y.; Shan, S.; Chen, X.; Gao, W. (September 2006). "Patch-Based Gabor Fisher Classifier for Face Recognition". 18th International Conference on Pattern Recognition (ICPR'06). Vol. 2. pp. 528–531. doi:10.1109/ICPR.2006.917. ISBN 978-0-7695-2521-1. S2CID 5381806.
Liu, Yang; Lin, Yongzheng; Chen, Yuehui (July 2008). "Ensemble Classification Based on ICA for Face Recognition". 2008 Congress on Image and Signal Processing. pp. 144–148. doi:10.1109/CISP.2008.581. ISBN 978-0-7695-3119-9. S2CID 16248842.
Rieger, Steven A.; Muraleedharan, Rajani; Ramachandran, Ravi P. (2014). "Speech based emotion recognition using spectral feature extraction and an ensemble of KNN classifiers". The 9th International Symposium on Chinese Spoken Language Processing. pp. 589–593. doi:10.1109/ISCSLP.2014.6936711. ISBN 978-1-4799-4219-0. S2CID 31370450.
Krajewski, Jarek; Batliner, Anton; Kessel, Silke (October 2010). "Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence - A Pilot Study". 2010 20th International Conference on Pattern Recognition (PDF). pp. 3716–3719. doi:10.1109/ICPR.2010.905. ISBN 978-1-4244-7542-1. S2CID 15431610.
Rani, P. Ithaya; Muneeswaran, K. (25 May 2016). "Recognize the facial emotion in video sequences using eye and mouth temporal Gabor features". Multimedia Tools and Applications. 76 (7): 10017–10040. doi:10.1007/s11042-016-3592-y. S2CID 20143585.
Xue, Dan; Zhou, Xiaomin; Li, Chen; Yao, Yudong; Rahaman, Md Mamunur; Zhang, Jinghua; Chen, Hao; Zhang, Jinpeng; Qi, Shouliang; Sun, Hongzan (2020). "An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification". IEEE Access. 8: 104603–104618. Bibcode:2020IEEEA...8j4603X. doi:10.1109/ACCESS.2020.2999816. ISSN 2169-3536. S2CID 219689893.

springer.com

link.springer.com

Kuncheva, L. and Whitaker, C., Measures of diversity in classifier ensembles, Machine Learning, 51, pp. 181-207, 2003
Bensusan, Hilan; Giraud-Carrier, Christophe (2000). "Discovering Task Neighbourhoods through Landmark Learning Performances" (PDF). Principles of Data Mining and Knowledge Discovery. Lecture Notes in Computer Science. Vol. 1910. pp. 325–330. doi:10.1007/3-540-45372-5_32. ISBN 978-3-540-41066-9.
Smyth, Padhraic; Wolpert, David (1999). "Linearly Combining Density Estimators via Stacking" (PDF). Machine Learning. 36 (1): 59–83. doi:10.1023/A:1007511322260. S2CID 16006860.
Wolpert, David H.; MacReady, William G. (1999). "An Efficient Method to Estimate Bagging's Generalization Error" (PDF). Machine Learning. 35 (1): 41–55. doi:10.1023/A:1007519102914. S2CID 14357246.

uni-augsburg.de

opus.bibliothek.uni-augsburg.de

Krajewski, Jarek; Batliner, Anton; Kessel, Silke (October 2010). "Comparing Multiple Classifiers for Speech-Based Detection of Self-Confidence - A Pilot Study". 2010 20th International Conference on Pattern Recognition (PDF). pp. 3716–3719. doi:10.1109/ICPR.2010.905. ISBN 978-1-4244-7542-1. S2CID 15431610.

unitn.it

eprints.biblio.unitn.it

Bruzzone, Lorenzo; Cossu, Roberto; Vernazza, Gianni (December 2002). "Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images" (PDF). Information Fusion. 3 (4): 289–297. doi:10.1016/S1566-2535(02)00091-X.

wikidata.org

e.g., Jennifer A. Hoeting; David Madigan; Adrian Raftery; Chris Volinsky (1999). "Bayesian Model Averaging: A Tutorial". Statistical Science. ISSN 0883-4237. Wikidata Q98974344.
Chris Fraley; Adrian Raftery; J. McLean Sloughter; Tilmann Gneiting, ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging, Wikidata Q98972500
Adrian Raftery; Jennifer A. Hoeting; Chris Volinsky; Ian Painter; Ka Yee Yeung, BMA: Bayesian Model Averaging, Wikidata Q91674106.
Adrian Raftery (1995). "Bayesian model selection in social research". Sociological Methodology: 111–196. doi:10.2307/271063. ISSN 0081-1750. Wikidata Q91670340.
Merlise A. Clyde; Michael L. Littman; Quanli Wang; Joyee Ghosh; Yingbo Li; Don van den Bergh, BAS: Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling, Wikidata Q98974089.
Gerda Claeskens; Nils Lid Hjort (2008), Model selection and model averaging, Cambridge University Press, Wikidata Q62568358, ch. 4.
Kenneth P. Burnham; David R. Anderson (1998), Model Selection and Inference: A practical information-theoretic approach, Springer Science+Business Media, Wikidata Q62670082 and Kenneth P. Burnham; David R. Anderson (2002), Model Selection and Multimodel Inference: A practical information-theoretic approach, Springer Science+Business Media, Wikidata Q76889160.

wikiversity.org

en.wikiversity.org

The Wikiversity article on Searching R Packages mentions several ways to find available packages for something like this. For example, “sos::findFn('{Bayesian model averaging}')” from within R will search for help files in contributed packages that includes the search term and open two tabs in the default browser. The first will list all the help files found sorted by package. The second summarizes the packages found, sorted by the apparent strength of the match.

worldcat.org

Liu, Y.; Yao, X. (December 1999). "Ensemble learning via negative correlation". Neural Networks. 12 (10): 1399–1404. doi:10.1016/S0893-6080(99)00073-8. ISSN 0893-6080. PMID 12662623.
e.g., Jennifer A. Hoeting; David Madigan; Adrian Raftery; Chris Volinsky (1999). "Bayesian Model Averaging: A Tutorial". Statistical Science. ISSN 0883-4237. Wikidata Q98974344.
Adrian Raftery (1995). "Bayesian model selection in social research". Sociological Methodology: 111–196. doi:10.2307/271063. ISSN 0081-1750. Wikidata Q91670340.
Xue, Dan; Zhou, Xiaomin; Li, Chen; Yao, Yudong; Rahaman, Md Mamunur; Zhang, Jinghua; Chen, Hao; Zhang, Jinpeng; Qi, Shouliang; Sun, Hongzan (2020). "An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification". IEEE Access. 8: 104603–104618. Bibcode:2020IEEEA...8j4603X. doi:10.1109/ACCESS.2020.2999816. ISSN 2169-3536. S2CID 219689893.
Manna, Ankur; Kundu, Rohit; Kaplun, Dmitrii; Sinitca, Aleksandr; Sarkar, Ram (December 2021). "A fuzzy rank-based ensemble of CNN models for classification of cervical cytology". Scientific Reports. 11 (1): 14538. Bibcode:2021NatSR..1114538M. doi:10.1038/s41598-021-93783-8. ISSN 2045-2322. PMC 8282795. PMID 34267261.