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Volumn 7677 LNCS, Issue , 2012, Pages 303-313

Support vector machine for large databases as classifier

Author keywords

Classification; Large database; Regression; Review; SVM

Indexed keywords

LARGE DATABASE; MULTIPLE AREAS; REAL-WORLD SCENARIO; REGRESSION; SPACE COMPLEXITY; SVM;

EID: 84871531184     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-35380-2_36     Document Type: Conference Paper
Times cited : (13)

References (14)
  • 2
    • 15944402058 scopus 로고    scopus 로고
    • Reducing the Number of Training Samples for Fast Support Vector Machine Classification
    • Koggalage, R., Halgamuge, S.: Reducing the Number of Training Samples for Fast Support Vector Machine Classification. Neural Information Processing 2(3), 57-65 (2004)
    • (2004) Neural Information Processing , vol.2 , Issue.3 , pp. 57-65
    • Koggalage, R.1    Halgamuge, S.2
  • 5
    • 0036583160 scopus 로고    scopus 로고
    • A Parallel Mixture of SVMs for Very Large Scale Problems
    • Collobert, R., Bengio, S., Bengio, Y.: A Parallel Mixture of SVMs for Very Large Scale Problems. Neural Computation 14(5) (2002)
    • (2002) Neural Computation , vol.14 , Issue.5
    • Collobert, R.1    Bengio, S.2    Bengio, Y.3
  • 6
    • 0000913324 scopus 로고    scopus 로고
    • SVMTorch: Support Vector Machines for Large-Scale Regression Problems
    • Collobert, R., Bengio, S.: SVMTorch: Support Vector Machines for Large-Scale Regression Problems. Journal of Machine Learning Research 1, 143-160 (2001)
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 143-160
    • Collobert, R.1    Bengio, S.2
  • 8
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • Schkolkopf, B., Burges, C., Smola, A. (eds.) MIT Press, Cambridge
    • Joachims, T.: Making large-scale support vector machine learning practical. In: Schkolkopf, B., Burges, C., Smola, A. (eds.) Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge (1998)
    • (1998) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 10
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training SVM
    • Fan, R.E., Chen, P.H., Lin, C.J.: Working set selection using second order information for training SVM. Journal of Machine Learning Research 6, 1889-1918 (2005)
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1889-1918
    • Fan, R.E.1    Chen, P.H.2    Lin, C.J.3
  • 12
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • Software available at
    • Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2, 27:1-27:27 (2011), Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvmSVMLight
    • (2011) ACM Transactions on Intelligent Systems and Technology , vol.2
    • Chang, C.C.1    Lin, C.J.2
  • 14
    • 84871588507 scopus 로고    scopus 로고
    • http://www.kernel-machines.org/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.