-
1مؤتمر
المساهمون: UAM. Departamento de Ingeniería Informática
مصطلحات موضوعية: Computational complexity, Ensembles of classifiers, SVM, Informática
وصف الملف: application/pdf
العلاقة: Artificial Neural Networks and Machine Learning – ICANN 2022: 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings; Part IV; https://doi.org/10.1007/978-3-031-15937-4_25Test; September 6-9, 2022; 31; Bristol (UK); 31st International Conference on Artificial Neural Networks (ICANN); Gobierno de España. PID2019-106827GB-I00; 31st International Conference on Artificial Neural Networks (ICANN), Bristol, UK, 2022; http://hdl.handle.net/10486/711766Test; 297; 308
-
2دورية أكاديمية
المؤلفون: Szymon Głowania, Jan Kozak, Przemysław Juszczuk
المصدر: Electronics; Volume 12; Issue 12; Pages: 2712
مصطلحات موضوعية: preparing dataset, sport result prediction, KDD, ensembles of classifiers
وصف الملف: application/pdf
العلاقة: Computer Science & Engineering; https://dx.doi.org/10.3390/electronics12122712Test
-
3رسالة جامعية
مرشدي الرسالة: UAM. Departamento de Ingeniería Informática, Aprendizaje Automático (ING EPS-001)
المصدر: Pattern Recognition 43.1 (2010): 143 – 152
0031-3203 (print)
1873-5142 (online)
143
1
152
43مصطلحات موضوعية: Bagging, Bootstrap sampling, Decision trees, Ensembles of classifiers, Optimal sampling ratio, Subagging, Subsampling, Informática
الوصول الحر: http://hdl.handle.net/10486/664127Test
-
4رسالة جامعية
مرشدي الرسالة: UAM. Departamento de Ingeniería Informática, Aprendizaje Automático (ING EPS-001)
المصدر: Neurocomputing 71.13-15 (2008): 2521 – 2528
0925-2312 (print)
1872-8286 (online)
2521
13-15
2528
71مصطلحات موضوعية: Bagging, Boosting, Class-switching, Decision trees, Ensembles of classifiers, Neural networks, Informática
الوصول الحر: http://hdl.handle.net/10486/664118Test
-
5رسالة جامعية
مرشدي الرسالة: UAM. Departamento de Ingeniería Informática, Aprendizaje Automático (ING EPS-001)
المصدر: IEEE Transactions on Pattern Analysis and Machine Intelligence 31.2 (2009): 245 – 259
0162-8828 (print)
1939-3539 (online)
245
2
259
31مصطلحات موضوعية: Bagging, Decision trees, Ensemble Pruning, Ensemble Selection, Ensembles of classifiers, Ordered Aggregation, Informática
الوصول الحر: http://hdl.handle.net/10486/664049Test
-
6دورية أكاديمية
المؤلفون: Murari A., Rossi R., Lungaroni M., Baruzzo M., Gelfusa M.
المساهمون: Murari, A., Rossi, R., Lungaroni, M., Baruzzo, M., Gelfusa, M.
مصطلحات موضوعية: adaptive learning, de-learning, disruptions, ensembles of classifiers, machine learning predictors, stacks of predictors, trajectory learning, transfer learning
العلاقة: volume:61; issue:3; firstpage:036027; journal:NUCLEAR FUSION; http://hdl.handle.net/20.500.12079/65388Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85102169355
الإتاحة: https://doi.org/20.500.12079/65388Test
https://doi.org/10.1088/1741-4326/abc9f3Test
https://hdl.handle.net/20.500.12079/65388Test -
7مؤتمر
المؤلفون: Alexandropoulos, Stamatios-Aggelos, Aridas, Christos, Kotsiantis, Sotiris, Vrahatis, Michael
المساهمون: University of Patras, John MacIntyre, Ilias Maglogiannis, Lazaros Iliadis, Elias Pimenidis, TC 12, WG 12.5
المصدر: IFIP Advances in Information and Communication Technology ; 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-02331304Test ; 15th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2019, Hersonissos, Greece. pp.545-556, ⟨10.1007/978-3-030-19823-7_46⟩
مصطلحات موضوعية: Decision support systems, Supervised machine learning, Ensembles of classifiers, [INFO]Computer Science [cs]
جغرافية الموضوع: Hersonissos, Greece
العلاقة: hal-02331304; https://hal.inria.fr/hal-02331304Test; https://hal.inria.fr/hal-02331304/documentTest; https://hal.inria.fr/hal-02331304/file/483292_1_En_46_Chapter.pdfTest
الإتاحة: https://doi.org/10.1007/978-3-030-19823-7_46Test
https://hal.inria.fr/hal-02331304Test
https://hal.inria.fr/hal-02331304/documentTest
https://hal.inria.fr/hal-02331304/file/483292_1_En_46_Chapter.pdfTest -
8
المؤلفون: Panagiotis A. Traganitis, Georgios B. Giannakis
المصدر: IEEE Transactions on Knowledge and Data Engineering. 34:5009-5022
مصطلحات موضوعية: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science::Machine Learning, Independent and identically distributed random variables, Computer Science - Machine Learning, Matching (graph theory), Computer science, Machine Learning (stat.ML), 02 engineering and technology, Machine learning, computer.software_genre, Data type, Machine Learning (cs.LG), Data modeling, Ensembles of classifiers, Statistics - Machine Learning, 020204 information systems, Classifier (linguistics), FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, business.industry, Ensemble learning, Computer Science Applications, ComputingMethodologies_PATTERNRECOGNITION, Computational Theory and Mathematics, Graph (abstract data type), Artificial intelligence, business, computer, Information Systems
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dd24358d667b4c635a4a285e570ec42Test
https://doi.org/10.1109/tkde.2020.3046645Test -
9
المؤلفون: Zinaida V. Seleznyova
المصدر: Journal of Corporate Finance Research / Корпоративные Финансы | ISSN: 2073-0438. 15:5-12
مصطلحات موضوعية: Credit rating, Ensembles of classifiers, Ranking, Computer science, Aggregate (data warehouse), Statistics, Contrast (statistics), Sample (statistics), Logistic regression, Interpretability
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::cf66873e6ad862b72edd69948d6d9ed2Test
https://doi.org/10.17323/j.jcfr.2073-0438.15.3.2021.5-13Test -
10دورية أكاديمية
المؤلفون: Khalil El Hindi, Hussien AlSalman, Safwan Qasem, Saad Al Ahmadi
المصدر: Entropy; Volume 20; Issue 11; Pages: 857
مصطلحات موضوعية: text classification, ensembles of classifiers, naive Bayesian learning, fine-tuning naive Bayesian algorithm, machine learning
وصف الملف: application/pdf