메뉴 건너뛰기




Volumn 3, Issue , 2014, Pages 1883-1891

New primal SVM solver with linear computational cost for big data classifications

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIG DATA; CLASSIFICATION (OF INFORMATION); LAGRANGE MULTIPLIERS; PARALLEL ARCHITECTURES;

EID: 84919911040     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (53)

References (24)
  • 2
    • 0034876406 scopus 로고    scopus 로고
    • Ijcnn 2001 challenge: Generalization ability and text decoding
    • Chang, Chih-Chung and Lin, Chih-Jen. Ijcnn 2001 challenge: Generalization ability and text decoding.In IJCNN, pp. 1031-1036, 2001.
    • (2001) IJCNN , pp. 1031-1036
    • Chang, C.-C.1    Lin, C.-J.2
  • 3
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • 27:1-27:27, Software
    • Chang, Chih-Chung and Lin, Chih-Jen. LIBSVM: A library for support vector machines. ACM TIST, 2(3):27:1-27:27, 2011. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
    • (2011) ACM TIST , vol.2 , Issue.3
    • Chang, C.-C.1    Lin, C.-J.2
  • 4
    • 48849104146 scopus 로고    scopus 로고
    • Coordinate descent method for large-scale L2-loss linear SVM
    • Chang, Kai-Wei, Hsieh, Cho-Jui, and Lin, Chih-Jen. Coordinate descent method for large-scale L2-loss linear svm. JMLR, 9:1369-1398, 2008.
    • (2008) JMLR , vol.9 , pp. 1369-1398
    • Chang, K.-W.1    Hsieh, C.-J.2    Lin, C.-J.3
  • 5
    • 0036583160 scopus 로고    scopus 로고
    • A parallel mixture of svms for very large scale problems
    • Collobert, R., Bengio, S., and Bengio, Y. A parallel mixture of svms for very large scale problems. Neural Computation, 14(5):1105-1114, 2002.
    • (2002) Neural Computation , vol.14 , Issue.5 , pp. 1105-1114
    • Collobert, R.1    Bengio, S.2    Bengio, Y.3
  • 6
    • 6444229449 scopus 로고    scopus 로고
    • Vehicle classification in distributed sensor networks
    • Duarte, M. and Hu, Y. H. Vehicle classification in distributed sensor networks. JPDC, 64(7):826-838, 2004.
    • (2004) JPDC , vol.64 , Issue.7 , pp. 826-838
    • Duarte, M.1    Hu, Y.H.2
  • 7
    • 50949133669 scopus 로고    scopus 로고
    • Liblinear: A library for large linear classification
    • Fan, Rong-En, Chang, Kai-Wei, Hsieh, Cho-Jui, Wang, Xiang-Rui, and Lin, Chih-Jen. Liblinear: A library for large linear classification. JMLR, 9:1871-1874, 2008.
    • (2008) JMLR , vol.9 , pp. 1871-1874
    • Fan, R.-E.1    Chang, K.-W.2    Hsieh, C.-J.3    Wang, X.-R.4    Lin, C.-J.5
  • 10
    • 56449086680 scopus 로고    scopus 로고
    • A dual coordinate descent method for large-scale linear svm
    • Hsieh, Cho-Jui, Chang, Kai-Wei, Keerthi, S. Sathiya, Sun- dararajan, S., and Lin, Chih-Jen. A dual coordinate descent method for large-scale linear svm. In ICML, pp. 408-415, 2008.
    • (2008) ICML , pp. 408-415
    • Hsieh, C.-J.1    Chang, K.-W.2    Keerthi, S.S.3    Sun- Dararajan, S.4    Lin, C.-J.5
  • 11
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • Hsu, Chih-Wei and Lin, Chih-Jen. A comparison of methods for multi-class support vector machines. IEEE TNN, 13(2):415-425, 2002.
    • (2002) IEEE TNN , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 12
    • 33749563073 scopus 로고    scopus 로고
    • Training linear svms in linear time
    • Joachims, Thorsten. Training linear svms in linear time. In KDD, pp. 217-226, 2006.
    • (2006) KDD , pp. 217-226
    • Joachims, T.1
  • 13
    • 21844461582 scopus 로고    scopus 로고
    • A modified finite newton method for fast solution of large scale linear svms
    • Keerthi, S. Sathiya and DeCoste, Dennis. A modified finite newton method for fast solution of large scale linear svms. JMLR, 6:341-361, 2005.
    • (2005) JMLR , vol.6 , pp. 341-361
    • Keerthi, S.S.1    DeCoste, D.2
  • 14
    • 44649088319 scopus 로고    scopus 로고
    • Trust region newton method for large-scale logistic regression
    • Lin, Chih-Jen, Weng, Ruby C., and Keerthi, S. Sathiya. Trust region newton method for large-scale logistic regression. JMLR, 9:627-650, 2008.
    • (2008) JMLR , vol.9 , pp. 627-650
    • Lin, C.-J.1    Weng, R.C.2    Keerthi, S.S.3
  • 17
    • 0036817951 scopus 로고    scopus 로고
    • A finite newton method for classification
    • Mangasarian, Olvi L. A finite newton method for classification. Optimization Methods and Software, 17(5):913-929, 2002.
    • (2002) Optimization Methods and Software , vol.17 , Issue.5 , pp. 913-929
    • Mangasarian, O.L.1
  • 18
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Piatt, John C. Fast training of support vector machines using sequential minimal optimization. In Advances in Kernel Methods: Support Vector Learning, pp. 185-208, 1999.
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 185-208
    • Piatt, J.C.1
  • 19
    • 34547964973 scopus 로고    scopus 로고
    • Pegasos: Primal estimated subgradient solver for svm
    • Shalev-Shwartz, Shai, Singer, Yoram, and Srebro, Nathan. Pegasos: primal estimated subgradient solver for svm. In ICML, pp. C807-C814, 2007.
    • (2007) ICML , pp. C807-C814
    • Shalev-Shwartz, S.1    Singer, Y.2    Srebro, N.3
  • 20
    • 85162015906 scopus 로고    scopus 로고
    • Bundle methods for machine learning
    • Smola, Alex J., Vishwanathan, S. V. N., and Le, Quoc. Bundle methods for machine learning. In NIPS, pp. 1377-1384, 2008.
    • (2008) NIPS , pp. 1377-1384
    • Smola, A.J.1    Vishwanathan, S.V.N.2    Le, Q.3
  • 22
    • 76749161402 scopus 로고    scopus 로고
    • Bundle methods for regularized risk minimization
    • Teo, Choon Hui, Vishwanathan, S.V.N., Smola, Alex, and Le, Quoc V. Bundle methods for regularized risk minimization. JMLR, 11:311-365, 2010.
    • (2010) JMLR , vol.11 , pp. 311-365
    • Teo, C.H.1    Vishwanathan, S.V.N.2    Smola, A.3    Le, Q.V.4
  • 23
    • 84863367863 scopus 로고    scopus 로고
    • Robust principal component analysis: Exact recovery of corrupted low-rank matrices by convex optimization
    • Wright, John, Ganesh, Arvind, Rao, Shankar, and Ma, Yi. Robust principal component analysis: exact recovery of corrupted low-rank matrices by convex optimization. In NIPS, pp. 2080-2088, 2009.
    • (2009) NIPS , pp. 2080-2088
    • Wright, J.1    Ganesh, A.2    Rao, S.3    Ma, Y.4
  • 24
    • 14344259207 scopus 로고    scopus 로고
    • Solving large scale linear prediction problems using stochastic gradient descent algorithms
    • Zhang, Tong. Solving large scale linear prediction problems using stochastic gradient descent algorithms. In ICML, pp. 919-926, 2004.
    • (2004) ICML , pp. 919-926
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.