메뉴 건너뛰기




Volumn 1, Issue , 2007, Pages 427-431

Multi-objective optimization for SVM model selection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; INFORMATION RETRIEVAL SYSTEMS; OPTIMIZATION; SUPPORT VECTOR MACHINES;

EID: 51149107603     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2007.4378745     Document Type: Conference Paper
Times cited : (22)

References (18)
  • 1
    • 0032216624 scopus 로고    scopus 로고
    • Optimization and froc analysis of rule-based detection schemes using a multiobjective approach
    • M. Anastasio, M. Kupinski, and R. Nishikawa. Optimization and froc analysis of rule-based detection schemes using a multiobjective approach. IEEE Trans. Med. Imaging, 17:1089-1093, 1998.
    • (1998) IEEE Trans. Med. Imaging , vol.17 , pp. 1089-1093
    • Anastasio, M.1    Kupinski, M.2    Nishikawa, R.3
  • 2
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46(1):131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 3
    • 0141430928 scopus 로고    scopus 로고
    • Radius margin bounds for support vector machines with rbf kernel
    • K. Chung, W. Kao, C. Sun, and C. Lin. Radius margin bounds for support vector machines with rbf kernel. Neural comput., 15(11):2643-2681, 2003.
    • (2003) Neural comput , vol.15 , Issue.11 , pp. 2643-2681
    • Chung, K.1    Kao, W.2    Sun, C.3    Lin, C.4
  • 5
    • 84947926042 scopus 로고    scopus 로고
    • A fast elitist nondominated sorting genetic algorithm for multiobjective optimization : Nsga-ii
    • K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan. A fast elitist nondominated sorting genetic algorithm for multiobjective optimization : Nsga-ii. In Parallel problem solving from nature, pages 849-858. 2000.
    • (2000) Parallel problem solving from nature , pp. 849-858
    • Deb, K.1    Agrawal, S.2    Pratap, A.3    Meyarivan, T.4
  • 6
    • 33646054819 scopus 로고    scopus 로고
    • Multi-class roc analysis from a multi-objective optimisation perspective
    • in press
    • R. Everson and J. Fieldsend. Multi-class roc analysis from a multi-objective optimisation perspective. Pattern Recognition Letters, page in press, 2006.
    • (2006) Pattern Recognition Letters, page
    • Everson, R.1    Fieldsend, J.2
  • 8
    • 25144435417 scopus 로고    scopus 로고
    • Roc optimisation of safety related systems
    • J. Fieldsend and R. Everson. Roc optimisation of safety related systems. Proceedings of ROCAI 2004, pages 37-44, 2004.
    • (2004) Proceedings of ROCAI , pp. 37-44
    • Fieldsend, J.1    Everson, R.2
  • 9
    • 15844394276 scopus 로고    scopus 로고
    • Evolutionnary tuning of multiple svm parameters
    • F. Friedrichs and C. Igel. Evolutionnary tuning of multiple svm parameters. Neurocomputing, 64:107-117, 2005.
    • (2005) Neurocomputing , vol.64 , pp. 107-117
    • Friedrichs, F.1    Igel, C.2
  • 10
    • 0036158552 scopus 로고    scopus 로고
    • A simple decomposition method for support vector machine
    • C. Hsu and C. Lin. A simple decomposition method for support vector machine. Machine Learning, 46:219-314, 2002.
    • (2002) Machine Learning , vol.46 , pp. 219-314
    • Hsu, C.1    Lin, C.2
  • 11
    • 33748076461 scopus 로고    scopus 로고
    • A ga-based feature selection and parameters optimization for support vector machine
    • C.-L. Huang and C.-J. Wang. A ga-based feature selection and parameters optimization for support vector machine. Expert systems with application, 31:231-240, 2006.
    • (2006) Expert systems with application , vol.31 , pp. 231-240
    • Huang, C.-L.1    Wang, C.-J.2
  • 12
    • 3142761493 scopus 로고    scopus 로고
    • On the relationship between classical grid search and probabilistic roadmaps
    • S. Lavalle and M. Branicky. On the relationship between classical grid search and probabilistic roadmaps. International Journal of Robotics research, 23:673-692, 2002.
    • (2002) International Journal of Robotics research , vol.23 , pp. 673-692
    • Lavalle, S.1    Branicky, M.2
  • 13
    • 33746071820 scopus 로고    scopus 로고
    • Prodding the roc curve: Constrained optimization of classifier performance
    • M. C. Mozer, R. Dodier, M. D. Colagrosso, C. Guerra-Salcedo, and R. Wolniewicz. Prodding the roc curve: Constrained optimization of classifier performance. NIPS, pages 1409-1415, 2002.
    • (2002) NIPS , pp. 1409-1415
    • Mozer, M.C.1    Dodier, R.2    Colagrosso, M.D.3    Guerra-Salcedo, C.4    Wolniewicz, R.5
  • 14
    • 40949099766 scopus 로고    scopus 로고
    • Optimizing fmeasure with support vector machines
    • D. Musicant, V. Kumar, and A. Ozgur. Optimizing fmeasure with support vector machines. FLAIRS Conference, pages 356-360, 2003.
    • (2003) FLAIRS Conference , pp. 356-360
    • Musicant, D.1    Kumar, V.2    Ozgur, A.3
  • 16
    • 40649123308 scopus 로고    scopus 로고
    • An evaluation of overfit control strategies for multi-objective evolutionary optimization
    • P. Radtke, T. Wong, and R. Sabourin. An evaluation of overfit control strategies for multi-objective evolutionary optimization. WCCI/IJCNN 06, pages 3327-3334, 2006.
    • (2006) WCCI/IJCNN 06 , pp. 3327-3334
    • Radtke, P.1    Wong, T.2    Sabourin, R.3
  • 18
    • 51149113125 scopus 로고    scopus 로고
    • A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
    • in Press
    • C.-H. Wu, G.-H. Tzeng, Y.-J. Goo, and W.-C. Fang. A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy. Expert systems with applications Article in Press, 2006.
    • (2006) Expert systems with applications Article
    • Wu, C.-H.1    Tzeng, G.-H.2    Goo, Y.-J.3    Fang, W.-C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.