المؤلفون: Junhai Luo, Yanping Chen, Zhiyan Wang, Man Wu, Yang Yang

المصدر: Neurocomputing. 456:312-326

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), Computer science, business.industry, Cognitive Neuroscience, Rank (computer programming), Supervised learning, 02 engineering and technology, Machine learning, computer.software_genre, Computer Science Applications, Domain (software engineering), 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Domain knowledge, Leverage (statistics), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Subspace topology, Test data

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::1a86cb969a7a0903af33f3036140eb51Test
https://doi.org/10.1016/j.neucom.2021.05.064Test

المؤلفون: Kun Bai, Zenglin Xu, Yong Xu, Jing Xu, Tszhang Guo

المصدر: Neurocomputing. 448:40-47

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), business.industry, Computer science, Cognitive Neuroscience, 02 engineering and technology, Machine learning, computer.software_genre, Convolutional neural network, Facial recognition system, Computer Science Applications, 020901 industrial engineering & automation, Local optimum, Discriminative model, Artificial Intelligence, Softmax function, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, business, Cluster analysis, computer, Interpretability

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::459b68376a0e1bdcf7870610c5f2403aTest
https://doi.org/10.1016/j.neucom.2021.03.043Test

المؤلفون: Xiaomin Yang, Zitao Liu, Zhen Li, Shipeng Fu

المصدر: Neurocomputing. 449:411-421

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), Computer science, Cognitive Neuroscience, Feature transformation, 02 engineering and technology, Machine learning, computer.software_genre, Constructive, law.invention, 020901 industrial engineering & automation, Artificial Intelligence, law, ComputingMilieux_COMPUTERSANDEDUCATION, 0202 electrical engineering, electronic engineering, information engineering, Leverage (statistics), Distillation, Contextual image classification, business.industry, Computer Science Applications, Work (electrical), 020201 artificial intelligence & image processing, Artificial intelligence, business, Effective teaching, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::08acee83dc8b6cb37732046c09cbdd1eTest
https://doi.org/10.1016/j.neucom.2021.04.026Test

المؤلفون: Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao

المصدر: Neurocomputing. 448:324-332

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), Discriminator, Discretization, Computer science, business.industry, Cognitive Neuroscience, Pattern recognition, 02 engineering and technology, Computer Science Applications, Matrix (mathematics), ComputingMethodologies_PATTERNRECOGNITION, 020901 industrial engineering & automation, Discriminant, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, A priori and a posteriori, 020201 artificial intelligence & image processing, Artificial intelligence, Cluster analysis, business, Encoder

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::550b9a6e1690ca45418c0ba35d9cc592Test
https://doi.org/10.1016/j.neucom.2021.03.031Test

المؤلفون: Honglin Qiao, Min Zhou, Chunhui Zhao, Chuan Fu, Yuanlong Li, C. L. Philip Chen, Liangjun Feng

المصدر: Neurocomputing. 412:486-501

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), Computer science, business.industry, Cognitive Neuroscience, 02 engineering and technology, Machine learning, computer.software_genre, Computer Science Applications, 020901 industrial engineering & automation, Artificial Intelligence, Incremental learning, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Artificial intelligence, Gradient boosting, business, Additive model, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::f05661767473d2d4c873155c8c218891Test
https://doi.org/10.1016/j.neucom.2020.06.100Test

المؤلفون: Keqing He, Yuanmeng Yan, Weiran Xu

المصدر: Neurocomputing. 445:267-275

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), Computer science, business.industry, Cognitive Neuroscience, Context (language use), 02 engineering and technology, Ontology (information science), Semantics, computer.software_genre, Computer Science Applications, 020901 industrial engineering & automation, Artificial Intelligence, Knowledge integration, 0202 electrical engineering, electronic engineering, information engineering, Ontology, Graph (abstract data type), Leverage (statistics), 020201 artificial intelligence & image processing, Artificial intelligence, Language model, business, computer, Natural language processing

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::962846d85eb49c9b0421ba51167260c9Test
https://doi.org/10.1016/j.neucom.2021.01.134Test

المؤلفون: Youngjung Uh, Won Young Lee, Hyeran Byun, Minsong Ki

المصدر: Neurocomputing. 445:244-254

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), business.industry, Computer science, Cognitive Neuroscience, Supervised learning, Pattern recognition, 02 engineering and technology, Object (computer science), Computer Science Applications, Consistency (database systems), 020901 industrial engineering & automation, Discriminative model, Artificial Intelligence, Feature (computer vision), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Segmentation, Artificial intelligence, business, Feature learning

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::4247cb88554cddd227208fe0712e683cTest
https://doi.org/10.1016/j.neucom.2021.03.023Test

المؤلفون: Emilie Morvant, Massih-Reza Amini, Pascal Germain, Anil Goyal

المساهمون: Analyse de données, Modélisation et Apprentissage automatique [Grenoble] (AMA ), Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Laboratoire Hubert Curien (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS), MOdel for Data Analysis and Learning (MODAL), Laboratoire Paul Painlevé (LPP), Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Sciences et Technologies-Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-École polytechnique universitaire de Lille (Polytech Lille), Région Rhone-Alpes, ANR-15-CE23-0026,LIVES,Apprendre avec des vues interactionnelles(2015), CNRS, Université de Lille, Laboratoire Paul Painlevé [LPP], Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Paul Painlevé - UMR 8524 (LPP), Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Evaluation des technologies de santé et des pratiques médicales - ULR 2694 (METRICS), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-École polytechnique universitaire de Lille (Polytech Lille)-Université de Lille, Sciences et Technologies

المصدر: Neurocomputing
Neurocomputing, In press, ⟨10.1016/j.neucom.2019.04.072⟩
Neurocomputing, Elsevier, In press, ⟨10.1016/j.neucom.2019.04.072⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, 0209 industrial biotechnology, Boosting (machine learning), Computer science, Cognitive Neuroscience, Machine Learning (stat.ML), 02 engineering and technology, Machine learning, computer.software_genre, Machine Learning (cs.LG), Boosting, 020901 industrial engineering & automation, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Statistics - Machine Learning, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Multiview Learning, business.industry, PAC-Bayes, Computer Science Applications, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer

وصف الملف: application/octet-stream

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db89dd3c941633410010bf181f13d638Test
https://doi.org/10.1016/j.neucom.2019.04.072Test

المؤلفون: Duc Anh Nguyen, Canh Hao Nguyen, Van Linh Ngo, Kim Anh Nguyen, Khoat Than

المصدر: Neurocomputing. 424:143-159

مصطلحات موضوعية: 0209 industrial biotechnology, Boosting (machine learning), Computer science, business.industry, Data stream mining, Cognitive Neuroscience, Bayesian probability, Sentiment analysis, 02 engineering and technology, Bayesian inference, Machine learning, computer.software_genre, Latent Dirichlet allocation, Computer Science Applications, Bayes' theorem, symbols.namesake, 020901 industrial engineering & automation, Artificial Intelligence, Prior probability, 0202 electrical engineering, electronic engineering, information engineering, symbols, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::c53d86e23d1461bc1ab7284c831300ceTest
https://doi.org/10.1016/j.neucom.2020.10.026Test

المؤلفون: Hakan Ezgi Kiziloz

المصدر: Neurocomputing. 419:97-107

مصطلحات موضوعية: 0209 industrial biotechnology, Computer science, Cognitive Neuroscience, Feature selection, 02 engineering and technology, Machine learning, computer.software_genre, Logistic regression, Naive Bayes classifier, 020901 industrial engineering & automation, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, AdaBoost, Extreme learning machine, business.industry, Ensemble learning, Computer Science Applications, Random forest, Support vector machine, ComputingMethodologies_PATTERNRECOGNITION, 020201 artificial intelligence & image processing, Artificial intelligence, Gradient boosting, business, Classifier (UML), computer

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::45326ef3b6f57e1ea5903c206ccd45e1Test
https://doi.org/10.1016/j.neucom.2020.07.113Test