المؤلفون: Caijilahu Bao, Kuan Xing, Xiaoli Zhang, Zhiqiang Ma, Yongsheng Wang, Jianxiong Wan, Leixiao Li, Chunlei Liu, Jianwei Wen, Li Zhang, Gwanggil Jeon

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18129-18138 (2024)

مصطلحات موضوعية: Deep forest, Himawari-8, large-scale machine learning, precipitation retrieval, remote sensing, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10681628/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/0a69805b6db74f058381fe7f717b5e05

المؤلفون: Researcher

المساهمون: Vamsi Krishna Rao

المصدر: International Journal of Computer Engineering and Technology (IJCET), 15(5), 960-967, (2024-10-22)

مصطلحات موضوعية: AI Data Reduction, Semantic Deduplication, Content-aware Compression, Large-scale Machine Learning Datasets, Adaptive Reduction Techniques

Relation: https://doi.org/10.5281/zenodo.13970868; https://doi.org/10.5281/zenodo.13970869; oai:zenodo.org:13970869

الاتاحة: https://doi.org/10.5281/zenodo.13970869

المؤلفون: Chaitali Khachane

المصدر: International Journal of Applied and Advanced Multidisciplinary Research; Vol. 1 No. 3 (2023): November 2023; 275-286 ; 3026-2437 ; 10.59890/ijaamr.v1i3

مصطلحات موضوعية: Problem formulation, Multi-stage Architecture, Large-scale Machine learning system, Experimental Validation

وصف الملف: application/pdf

Relation: https://journal.multitechpublisher.com/index.php/ijaamr/article/view/715/840; https://journal.multitechpublisher.com/index.php/ijaamr/article/view/715

الاتاحة: https://journal.multitechpublisher.com/index.php/ijaamr/article/view/715
https://doi.org/10.59890/ijaamr.v1i3.715

المؤلفون: Keswani, Rajesh N., Byrd, Daniel, Garcia Vicente, Florencia, Heller, J. Alex, Klug, Matthew, Mazumder, Nikhilesh R., Wood, Jordan, Yang, Anthony D., Etemadi, Mozziyar

المساهمون: Surgery, School of Medicine

المصدر: PMC

مصطلحات موضوعية: Large-scale machine learning (ML), Colonoscopy videos, Electronic health record (EHR)

وصف الملف: application/pdf

Relation: Endoscopy International Open; https://hdl.handle.net/1805/44144

الاتاحة: https://hdl.handle.net/1805/44144

المؤلفون: Xiang Zhou, Jilin Zhang, Jian Wan, Li Zhou, Zhenguo Wei, Juncong Zhang

المصدر: IEEE Access, Vol 7, Pp 171853-171863 (2019)

مصطلحات موضوعية: Heterogeneous distributed system, mobile edge computing system, adaptive scheduling, large-scale machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8908789/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/c3086aae61434bcb91fbcd6d19b5dffe

المؤلفون: Bo Zhao, Hucheng Zhou, Guoqiang Li, Yihua Huang

المصدر: Big Data Mining and Analytics, Vol 1, Iss 1, Pp 57-74 (2018)

مصطلحات موضوعية: latent dirichlet allocation, collapsed gibbs sampling, monte-carlo, graph computing, large-scale machine learning, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.sciopen.com/article/10.26599/BDMA.2018.9020006; https://doaj.org/toc/2096-0654

URL الوصول: https://doaj.org/article/964e322084df4408ae89183ef6bfabdd

المؤلفون: Serra, Jordi, Sanabria-Russo, Luis, Pubill, David, Verikoukis, Christos

المصدر: IEEE CAMAD 2018, IEEE International Wokshop on Cumputer-Aided Modeling Analysis and Design of Communication Links and Networks,, Barcelona (Spain), 17-19 September 2018

مصطلحات موضوعية: IoT, SDN, Large-Scale Machine Learning, online learning, MANO, NFV, Edge-Cloud computing

Relation: https://zenodo.org/communities/eu; https://doi.org/10.5281/zenodo.1422772; https://doi.org/10.5281/zenodo.1422773; oai:zenodo.org:1422773

الاتاحة: https://doi.org/10.5281/zenodo.1422773

المؤلفون: Meanti, Giacomo

مصطلحات موضوعية: kernel methods, nerf, machine learning, Settore INF/01 - Informatica, big data, large scale machine learning, hyperparameter optimization

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3710::59f73f6ecedcde267ba77e4223b63079
https://hdl.handle.net/11567/1119357

المؤلفون: Lin, Hongzhou, Mairal, Julien, Harchaoui, Zaid

المساهمون: Apprentissage de modèles à partir de données massives (Thoth ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-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 ), Computer Science and Artificial Intelligence Laboratory Cambridge (CSAIL), Massachusetts Institute of Technology (MIT), University of Washington Seattle, This work was supported by the ERC grant SOLARIS (number 714381), a grant from ANR (MACARON project ANR-14-CE23-0003-01), the program ``Learning in Machines and Brains'' (CIFAR), and the project Titan (CNRS-Mastodons)., ANR-14-CE23-0003,MACARON,Apprentissage statistique à grande échelle et applications(2014), European Project: 714381,H2020,SOLARIS(2017)

المصدر: ISSN: 1052-6234 ; SIAM Journal on Optimization ; https://inria.hal.science/hal-01376079 ; SIAM Journal on Optimization, 2019, 29 (2), pp.1408-1443. ⟨10.1137/17M1125157⟩.

مصطلحات موضوعية: large-scale machine learning, convex optimization, Quasi-Newton, [STAT.OT]Statistics [stat]/Other Statistics [stat.ML], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/1610.00960; info:eu-repo/grantAgreement//714381/EU/Large-Scale Learning with Deep Kernel Machines/SOLARIS; hal-01376079; https://inria.hal.science/hal-01376079; https://inria.hal.science/hal-01376079v4/document; https://inria.hal.science/hal-01376079v4/file/quickening_arxiv.pdf; ARXIV: 1610.00960

الاتاحة: https://inria.hal.science/hal-01376079
https://inria.hal.science/hal-01376079v4/document
https://inria.hal.science/hal-01376079v4/file/quickening_arxiv.pdf
https://doi.org/10.1137/17M1125157

المؤلفون: Lin, Hongzhou, Mairal, Julien, Harchaoui, Zaid

المساهمون: Apprentissage de modèles à partir de données massives (Thoth ), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Recherche en Informatique et en Automatique (Inria)-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 ), Computer Science and Artificial Intelligence Laboratory Cambridge (CSAIL), Massachusetts Institute of Technology (MIT), University of Washington Seattle, ANR-14-CE23-0003,MACARON,Apprentissage statistique à grande échelle et applications(2014), European Project: 714381,H2020,SOLARIS(2017)

المصدر: ISSN: 1532-4435.

مصطلحات موضوعية: Convex optimization, First-order methods, Large-scale machine learning, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]

Relation: info:eu-repo/grantAgreement//714381/EU/Large-Scale Learning with Deep Kernel Machines/SOLARIS; hal-01664934; https://inria.hal.science/hal-01664934; https://inria.hal.science/hal-01664934v2/document; https://inria.hal.science/hal-01664934v2/file/17-748.pdf

الاتاحة: https://inria.hal.science/hal-01664934
https://inria.hal.science/hal-01664934v2/document
https://inria.hal.science/hal-01664934v2/file/17-748.pdf

المؤلفون: Smith, Virginia, Forte, Simone, Chenxin, Ma, Takáč, Martin, Jordan, Michael I., Jaggi, Martin

المصدر: Journal of Machine Learning Research, 18

مصطلحات موضوعية: Convex optimization, distributed systems, large-scale machine learning, parallel and distributed algorithms

وصف الملف: application/application/pdf

Relation: info:eu-repo/semantics/altIdentifier/wos/000440886000001; http://hdl.handle.net/20.500.11850/282738

الاتاحة: https://hdl.handle.net/20.500.11850/282738
https://doi.org/10.3929/ethz-b-000282738

المؤلفون: Cui, Yanwei, Chapel, Laetitia, Lefèvre, Sébastien

المساهمون: Environment observation with complex imagery (OBELIX), Université de Bretagne Sud (UBS)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

المصدر: ISSN: 2072-4292 ; Remote Sensing ; https://hal.science/hal-01672848 ; Remote Sensing, 2017, 9 (3), ⟨10.3390/rs9030196⟩.

مصطلحات موضوعية: structured kernel, random Fourier features, kernel approximation, GEOBIA, hierarchical representations, large-scale machine learning, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]

Relation: hal-01672848; https://hal.science/hal-01672848; https://hal.science/hal-01672848/document; https://hal.science/hal-01672848/file/rs2017cui.pdf

الاتاحة: https://hal.science/hal-01672848
https://hal.science/hal-01672848/document
https://hal.science/hal-01672848/file/rs2017cui.pdf
https://doi.org/10.3390/rs9030196

المؤلفون: Kourid, Ahlam, Batouche, Mohamed

المساهمون: Faculté des Nouvelles Technologies de l'Information et de la Communication (NTIC), Université de Constantine 2 Abdelhamid Mehri Constantine, Abdelmalek Amine, Ladjel Bellatreche, Zakaria Elberrichi, Erich J. Neuhold, Robert Wrembel, TC 5

المصدر: IFIP Advances in Information and Communication Technology ; 5th International Conference on Computer Science and Its Applications (CIIA) ; https://hal.inria.fr/hal-01789929 ; 5th International Conference on Computer Science and Its Applications (CIIA), May 2015, Saida, Algeria. pp.81-92, ⟨10.1007/978-3-319-19578-0_7⟩

مصطلحات موضوعية: Feature selection, Large-scale machine learning, Big data analytics, Bioinformatics, Biomarker discovery, [INFO]Computer Science [cs]

جغرافية الموضوع: Saida, Algeria

Relation: hal-01789929; https://hal.inria.fr/hal-01789929; https://hal.inria.fr/hal-01789929/document; https://hal.inria.fr/hal-01789929/file/339159_1_En_7_Chapter.pdf

الاتاحة: https://hal.inria.fr/hal-01789929
https://hal.inria.fr/hal-01789929/document
https://hal.inria.fr/hal-01789929/file/339159_1_En_7_Chapter.pdf
https://doi.org/10.1007/978-3-319-19578-0_7

المؤلفون: Ye, Yu, Chen, Hao, Xiao, Ming, 1975, Skoglund, Mikael, 1969, Poor, H. Vincent

المصدر: 2020 IEEE International Symposium on Information Theory (ISIT) IEEE International Symposium on Information Theory - Proceedings. :209-214

مصطلحات موضوعية: alternating direction method of multipliers (ADMM), Decentralized optimization, privacy preserving, Hamiltonians, Alternating direction method of multipliers, Communication cost, Communication efficiency, Decentralized consensus, Decentralized networks, Large-scale machine learning, Optimization problems, Privacy preservation, Information theory

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301685

المؤلفون: LU, Jing, HOI, Steven C. H., WANG, Jialei, ZHAO, Peilin, LIU, Zhi-Yong

المصدر: Research Collection School Of Computing and Information Systems

مصطلحات موضوعية: online learning, kernel method, large scale machine learning, Computer Sciences, Databases and Information Systems, Theory and Algorithms

وصف الملف: application/pdf

Relation: https://ink.library.smu.edu.sg/sis_research/3410; https://ink.library.smu.edu.sg/context/sis_research/article/4411/viewcontent/Largescaleonlinekernellearning.pdf

الاتاحة: https://ink.library.smu.edu.sg/sis_research/3410
https://ink.library.smu.edu.sg/context/sis_research/article/4411/viewcontent/Largescaleonlinekernellearning.pdf

المؤلفون: Shah, Ruchi

المساهمون: Wu, Panruo, Chen, Guoning, Chen, Jieyang, Johnsson, Lennart

مصطلحات موضوعية: Support Vector Machine, SVM, kernel trick, large scale machine learning, randomized linear algebra, interior point method, quadratic program, GPU, TensorCore, HPC, kernel machine, Gaussian Process Regression

وصف الملف: application/pdf; Born digital

Relation: Portions of this document appear in: Shah, Ruchi, Shaoshuai Zhang, Ying Lin, and Panruo Wu. "xSVM: Scalable distributed kernel support vector machine training." In 2019 IEEE International Conference on Big Data (Big Data), pp. 155-164. IEEE, 2019; and in: Zhang, Shaoshuai, Ruchi Shah, and Panruo Wu. "TensorSVM: accelerating kernel machines with tensor engine." In Proceedings of the 34th ACM International Conference on Supercomputing, pp. 1-11. 2020.; https://hdl.handle.net/10657/14373

الاتاحة: https://hdl.handle.net/10657/14373

المؤلفون: Malcolm W. Greaves

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://reports-archive.adm.cs.cmu.edu/anon/2014/CMU-CS-14-128.pdf.

مصطلحات موضوعية: Information extraction, Machine Learning, Natural Language Processing, Probabilistic First-Order Logic, Relation Extraction, Big Data, Large Scale Machine Learning, Support Vector Machines, Cost-Sensitive Learning

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.3968; http://reports-archive.adm.cs.cmu.edu/anon/2014/CMU-CS-14-128.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.684.3968
http://reports-archive.adm.cs.cmu.edu/anon/2014/CMU-CS-14-128.pdf

المؤلفون: Amr Ahmed, Vanja Josifovski, Nino Shervashidze, Alexander J. Smola, Shravan Narayanamurthy

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://www2013.org/proceedings/p37.pdf.

مصطلحات موضوعية: Categories and Subject Descriptors [I.2.6] [Artificial Intelligence, Learning – Parameter Learning, E.1] [Data Structures, Graphs and Networks Keywords Large-scale Machine Learning, Distributed Optimization, Graph Factorization, Matrix Factorization, Asynchronous Algorithms, Graph Algorithms, Graph Partitioning

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.8910; http://www2013.org/proceedings/p37.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.401.8910
http://www2013.org/proceedings/p37.pdf

المؤلفون: Maximilian Nickel, Volker Tresp, Otto-hahn Ring, Hans-peter Kriegel

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://wwwbrauer.in.tum.de/~trespvol/papers/p271.pdf.

مصطلحات موضوعية: E.1 [Data Structures, Graphs and Networks General Terms Algorithms, Performance, Experimentation Keywords Large-Scale Machine Learning, Semantic Web, Linked Open Data, Tensor Factorization, Relational Learning

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.1004; http://wwwbrauer.in.tum.de/~trespvol/papers/p271.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.1004
http://wwwbrauer.in.tum.de/~trespvol/papers/p271.pdf

المؤلفون: Tzu-kuo (t. K. Huang, Advisor Prof, Jeff Schneider, Chih-jen Lin

المساهمون: The Pennsylvania State University CiteSeerX Archives

المصدر: http://www.cs.cmu.edu/~tzukuoh/tk_cv.pdf.

مصطلحات موضوعية: Learning Dynamic Models, Latent Variable Models, Ranking, Large-scale Machine Learning PUBLICATIONS

وصف الملف: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.1400; http://www.cs.cmu.edu/~tzukuoh/tk_cv.pdf

الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.1400
http://www.cs.cmu.edu/~tzukuoh/tk_cv.pdf