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https://dblp.uni-trier.de/rec/conf/nips/ChangZWBLQC07
Bibliographic details on Parallelizing Support Vector Machines on Distributed Computers.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.7569
BibTeX @MISC{Chang_psvm:parallelizing, author = {Edward Y. Chang and Kaihua Zhu and Hao Wang and Hongjie Bai and Jian Li and Zhihuan Qiu and Hang Cui}, title = {PSVM: Parallelizing Support Vector Machines on Distributed Computers}, year = {}}
http://papers.nips.cc/paper/3202-parallelizing-support-vector-machines-on-distributed-computers.pdf
PSVM: Parallelizing Support Vector Machines on Distributed Computers Edward Y. Chang⁄, Kaihua Zhu, Hao Wang, Hongjie Bai, Jian Li, Zhihuan Qiu, & Hang Cui Google Research, Beijing, China Abstract Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability,
https://research.google/pubs/pub34638/
Parallelizing Support Vector Machines on Distributed Computers. Edward Y. Chang; Kaihua Zhu; Hao Wang; Hongjie Bai; Jian Li; Zhihuan Qiu; Hang Cui; Neural Information Processing Systems (NIPS) (2007) Download Google Scholar Copy Bibtex Abstract. We also ... Distributed Systems and Parallel Computing. Learn more about how we do research We ...Cited by: 228
https://github.com/openbigdatagroup/psvm
Mar 03, 2016 · PSVM: Parallelizing Support Vector Machines on Distributed Computers - openbigdatagroup/psvm. PSVM: Parallelizing Support Vector Machines on Distributed Computers - openbigdatagroup/psvm ... Join GitHub today. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together ...
https://papers.nips.cc/paper/3202-parallelizing-support-vector-machines-on-distributed-computers
Electronic Proceedings of Neural Information Processing Systems. Parallelizing Support Vector Machines on Distributed Computers. Part of: Advances in Neural Information Processing Systems 20 (NIPS 2007) Authors
https://www.researchgate.net/publication/221620344_PSVM_Parallelizing_Support_Vector_Machines_on_Distributed_Computers
Request PDF PSVM: Parallelizing Support Vector Machines on Distributed Computers Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and ...
https://link.springer.com/chapter/10.1007/978-3-642-20429-6_10
Aug 26, 2011 · Abstract. Support Vector Machines (SVMs) suffer from a widely recognized scalability problem in both memory use and computational time. To improve scalability, we have developed a parallel SVM algorithm (PSVM), which reduces memory use through performing a row-based, approximate matrix factorization, and which loads only essential data to each machine to perform …Cited by: 228
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.6607
BibTeX @INPROCEEDINGS{Chang05psvm:parallelizing, author = {Edward Y. Chang and Kaihua Zhu and Hao Wang and Hongjie Bai and Jian Li and Zhihuan Qiu and Hang Cui}, title = {Psvm: Parallelizing support vector machines on distributed computers. Advances in Neural Information Processing Systems, 20:16, 2007. [2] Shai Fine and Katya Scheinberg.
https://ai.google/research/pubs/pub34638
Parallelizing Support Vector Machines on Distributed Computers ... Download Search Copy Bibtex Venue. Neural Information Processing Systems (NIPS) (2007) ... Kaihua Zhu Hao Wang Hongjie Bai Jian Li Zhihuan Qiu Hang Cui Research Areas. Distributed Systems and Parallel Computing Publication Year. 2007 Collections. NIPS 2017Cited by: 228
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