메뉴 건너뛰기




Volumn 31, Issue 2, 2009, Pages 121-128

Fast training of structured SVM using fixed-threshold sequential minimal optimization

Author keywords

Fixed threshold sequential minimal optimization; Structured SVM; Support vector machines

Indexed keywords

OPTIMIZATION; QUADRATIC PROGRAMMING;

EID: 65249148455     PISSN: 12256463     EISSN: None     Source Type: Journal    
DOI: 10.4218/etrij.09.0108.0276     Document Type: Article
Times cited : (24)

References (17)
  • 2
    • 0030673582 scopus 로고    scopus 로고
    • Training Support Vector Machines: An Application to Face Detection
    • E. Osuna, R. Freund, and F. Girosi, "Training Support Vector Machines: An Application to Face Detection," Proc. CVPR, 1997, pp. 130-136.
    • (1997) Proc. CVPR , pp. 130-136
    • Osuna, E.1    Freund, R.2    Girosi, F.3
  • 3
    • 0004322632 scopus 로고    scopus 로고
    • Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines,
    • MSR-TR-98-14, 1998
    • J. Platt, "Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines," Microsoft Research Technical Report MSR-TR-98-14, 1998.
    • Microsoft Research Technical Report
    • Platt, J.1
  • 4
    • 29344450414 scopus 로고    scopus 로고
    • Support Vector Machine Learning for Interdependent and Structured Output Spaces
    • I. Tsochantaridis et al., "Support Vector Machine Learning for Interdependent and Structured Output Spaces," Proc. ICML, 2004, p. 104.
    • (2004) Proc. ICML , pp. 104
    • Tsochantaridis, I.1
  • 6
    • 0034785267 scopus 로고    scopus 로고
    • A Statistical Learning Model of Text Classification with Support Vector Machines
    • T. Joachims, "A Statistical Learning Model of Text Classification with Support Vector Machines," Proc. SIGIR, 2001, pp. 128-136.
    • (2001) Proc. SIGIR , pp. 128-136
    • Joachims, T.1
  • 7
    • 36448963754 scopus 로고    scopus 로고
    • Relaxed Online SVMs for Spam Filtering
    • D. Sculley and G.M. Wachman, "Relaxed Online SVMs for Spam Filtering," Proc. SIGIR, 2007, pp. 415-422.
    • (2007) Proc. SIGIR , pp. 415-422
    • Sculley, D.1    Wachman, G.M.2
  • 8
    • 36448983903 scopus 로고    scopus 로고
    • A Support Vector Method for Optimizing Average Precision
    • Y. Yue et al., "A Support Vector Method for Optimizing Average Precision," Proc. SIGIR, 2007, pp. 271-278.
    • (2007) Proc. SIGIR , pp. 271-278
    • Yue, Y.1
  • 9
    • 35148851884 scopus 로고    scopus 로고
    • Support Vector Machine Learning for Region-Based Image Retrieval with Relevance Feedback
    • D. Kim, J. Song, and B. Choi, "Support Vector Machine Learning for Region-Based Image Retrieval with Relevance Feedback," ETRI J., vol. 29, no. 5, 2007, pp. 700-702.
    • (2007) ETRI J , vol.29 , Issue.5 , pp. 700-702
    • Kim, D.1    Song, J.2    Choi, B.3
  • 10
    • 34147106435 scopus 로고    scopus 로고
    • A Multi-Strategic Concept-Spotting Approach for Robust Understanding of Spoken Korean
    • C. Lee et al., "A Multi-Strategic Concept-Spotting Approach for Robust Understanding of Spoken Korean," ETRI J., vol. 29, no. 2, 2007, pp. 179-188.
    • (2007) ETRI J , vol.29 , Issue.2 , pp. 179-188
    • Lee, C.1
  • 11
    • 84898948585 scopus 로고    scopus 로고
    • Max Margin Markov Networks
    • B. Taskar, C. Guestrin, and D. Koller, "Max Margin Markov Networks," NIPS, vol. 16, 2004.
    • (2004) NIPS , vol.16
    • Taskar, B.1    Guestrin, C.2    Koller, D.3
  • 12
    • 21844440579 scopus 로고    scopus 로고
    • Core Vector Machines: Fast SVM Training on Very Large Data Sets
    • L.W. Tsang, J.T. Kwok, and P.M. Cheung, "Core Vector Machines: Fast SVM Training on Very Large Data Sets," Journal of Machine Learning Research, vol. 6, 2005, pp. 363-392.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 363-392
    • Tsang, L.W.1    Kwok, J.T.2    Cheung, P.M.3
  • 13
    • 33749563073 scopus 로고    scopus 로고
    • Training Linear SVMs in Linear Time
    • T. Joachims, "Training Linear SVMs in Linear Time," Proc. KDD, 2006.
    • (2006) Proc. KDD
    • Joachims, T.1
  • 14
    • 33751353906 scopus 로고    scopus 로고
    • Fine-Grained Named Entity Recognition Using Conditional Random Fields for Question Answering
    • C. Lee et al., "Fine-Grained Named Entity Recognition Using Conditional Random Fields for Question Answering," Proc. AIRS, 2006, pp. 581-587.
    • (2006) Proc. AIRS , pp. 581-587
    • Lee, C.1
  • 15
    • 0000667930 scopus 로고    scopus 로고
    • Training v-Support Vector Classifiers
    • C. Chang and C. Lin, "Training v-Support Vector Classifiers," Neural Computation, vol. 13, no. 9, 2001, pp. 2119-2147.
    • (2001) Neural Computation , vol.13 , Issue.9 , pp. 2119-2147
    • Chang, C.1    Lin, C.2
  • 16
    • 0036568032 scopus 로고    scopus 로고
    • On the Learnability and Design of Output Codes for Multiclass Problems
    • K. Crammer and Y. Singer, "On the Learnability and Design of Output Codes for Multiclass Problems," Journal of Machine Learning, vol. 47, 2004, pp. 201-233.
    • (2004) Journal of Machine Learning , vol.47 , pp. 201-233
    • Crammer, K.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.