메뉴 건너뛰기




Volumn 38, Issue 2, 2008, Pages 299-309

Minerva: Sequential covering for rule extraction

Author keywords

Classification; Rule extraction; Support vector machines

Indexed keywords

ALGORITHMS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

EID: 41649093790     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2007.912079     Document Type: Article
Times cited : (21)

References (34)
  • 2
    • 33745202712 scopus 로고    scopus 로고
    • Eclectic rule-extraction from support vector machines
    • N. Barakat and J. Diederich, "Eclectic rule-extraction from support vector machines," Int. J. Comput. Intell., vol. 2, no. 1, pp. 59-62, 2005.
    • (2005) Int. J. Comput. Intell , vol.2 , Issue.1 , pp. 59-62
    • Barakat, N.1    Diederich, J.2
  • 4
    • 0036565303 scopus 로고    scopus 로고
    • Extraction of rules from artificial neural networks for nonlinear regression
    • May
    • R. Setiono, W. Leow, and J. Zurada, "Extraction of rules from artificial neural networks for nonlinear regression," IEEE Trans. Neural Netw., vol. 13, no. 3, pp. 564-577, May 2002.
    • (2002) IEEE Trans. Neural Netw , vol.13 , Issue.3 , pp. 564-577
    • Setiono, R.1    Leow, W.2    Zurada, J.3
  • 5
    • 0032685184 scopus 로고    scopus 로고
    • Symbolic interpretation of artificial neural networks
    • May/Jun
    • I. Taha and J. Ghosh, "Symbolic interpretation of artificial neural networks," IEEE Trans. Knowl. Data Eng., vol. 11, no. 3, pp. 448-463, May/Jun. 1999.
    • (1999) IEEE Trans. Knowl. Data Eng , vol.11 , Issue.3 , pp. 448-463
    • Taha, I.1    Ghosh, J.2
  • 7
    • 0346279920 scopus 로고    scopus 로고
    • An approach to generate rules from neural networks for regression problems
    • May
    • R. Setiono and J. Thong, "An approach to generate rules from neural networks for regression problems," Eur. J. Oper. Res., vol. 155, no. 1, pp. 239-250, May 2004.
    • (2004) Eur. J. Oper. Res , vol.155 , Issue.1 , pp. 239-250
    • Setiono, R.1    Thong, J.2
  • 8
    • 41649092057 scopus 로고    scopus 로고
    • S. Thrunin Extracting provably correct rules from artificial neural networks, Univ. Bonn, Inst. Informatik III, Bonn, Germany, Tech. Rep. IAI-TR-93-5, 1993. [Online]. Available: Citeseer.ifi.unizh.ch/ thrun93extracting.html
    • S. Thrunin "Extracting provably correct rules from artificial neural networks," Univ. Bonn, Inst. Informatik III, Bonn, Germany, Tech. Rep. IAI-TR-93-5, 1993. [Online]. Available: Citeseer.ifi.unizh.ch/ thrun93extracting.html
  • 9
    • 0029484103 scopus 로고
    • Survey and critique of techniques for extracting rules from trained artificial neural networks
    • Dec
    • R. Andrews, J. Diederich, and A. Tickle, "Survey and critique of techniques for extracting rules from trained artificial neural networks," Knowl.-Based Syst., vol. 8, no. 6, pp. 373-389, Dec. 1995.
    • (1995) Knowl.-Based Syst , vol.8 , Issue.6 , pp. 373-389
    • Andrews, R.1    Diederich, J.2    Tickle, A.3
  • 12
    • 70350775041 scopus 로고    scopus 로고
    • Learning-based rule-extraction from support vector machines
    • N. Barakat and J. Diederich, "Learning-based rule-extraction from support vector machines," in Proc. 14th ICCTA, 2004.
    • (2004) Proc. 14th ICCTA
    • Barakat, N.1    Diederich, J.2
  • 13
    • 0003577338 scopus 로고    scopus 로고
    • Extracting comprehensible models from trained neural networks,
    • Ph.D. dissertation, Dept. Comput. Sci, Univ. Wisconsin-Madison, Madison, WI
    • M. Craven, "Extracting comprehensible models from trained neural networks," Ph.D. dissertation, Dept. Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, 1996.
    • (1996)
    • Craven, M.1
  • 14
    • 85156234012 scopus 로고    scopus 로고
    • Extracting tree-structured representations of trained networks
    • D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds. Cambridge, MA: MIT Press, Online, Available
    • M. Craven and J. Shavlik, "Extracting tree-structured representations of trained networks," in Advances in Neural Information Processing Systems, vol. 8, D. S. Touretzky, M. C. Mozer, and M. E. Hasselmo, Eds. Cambridge, MA: MIT Press, 1996, pp. 24-30. [Online]. Available: citeseer.ist.psu.edu/craven96extracting.html
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 24-30
    • Craven, M.1    Shavlik, J.2
  • 16
    • 33751378719 scopus 로고    scopus 로고
    • ITER: An algorithm for predictive regression rule extraction
    • J. Huysmans, B. Baesens, and J. Vanthienen, "ITER: An algorithm for predictive regression rule extraction," in Proc. 8th Int. Conf. DaWaK, 2006, vol. 4081, pp. 270-279.
    • (2006) Proc. 8th Int. Conf. DaWaK , vol.4081 , pp. 270-279
    • Huysmans, J.1    Baesens, B.2    Vanthienen, J.3
  • 17
    • 34249966007 scopus 로고
    • The CN2 induction algorithm
    • Mar, Online, Available
    • P. Clark and T. Niblett, "The CN2 induction algorithm," Mach. Learn., vol. 3, no. 4, pp. 261-283, Mar. 1989. [Online]. Available: citeseer.ist. psu.edu/clark89cn.html
    • (1989) Mach. Learn , vol.3 , Issue.4 , pp. 261-283
    • Clark, P.1    Niblett, T.2
  • 18
    • 0003312474 scopus 로고
    • On the quasi-minimal solution of the general covering problem
    • R. Michalski, "On the quasi-minimal solution of the general covering problem," in Proc. 5th Int. Symp. Inf. Process. (FCIP), 1969, pp. 125-128.
    • (1969) Proc. 5th Int. Symp. Inf. Process. (FCIP) , pp. 125-128
    • Michalski, R.1
  • 19
    • 85149612939 scopus 로고
    • Fast effective rule induction
    • A. Prieditis and S. Russell, Eds
    • W. Cohen, "Fast effective rule induction," in Proc. 12th Int. Conf. Mach. Learn., A. Prieditis and S. Russell, Eds., 1995, pp. 115-123.
    • (1995) Proc. 12th Int. Conf. Mach. Learn , pp. 115-123
    • Cohen, W.1
  • 22
    • 33645599743 scopus 로고    scopus 로고
    • Developing intelligent systems for credit scoring using machine learning techniques,
    • Ph.D. dissertation, Katholieke Univ. Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, Leuven, Belgium
    • B. Baesens, "Developing intelligent systems for credit scoring using machine learning techniques," Ph.D. dissertation, Katholieke Univ. Leuven, Faculteit Economische en Toegepaste Economische Wetenschappen, Leuven, Belgium, 2003.
    • (2003)
    • Baesens, B.1
  • 23
    • 41649097582 scopus 로고    scopus 로고
    • J. Neumann, Classification and evaluation of algorithms for rule extraction from artificial neural networks, Ph.D. dissertation, Univ. Edinburgh, Edinburgh, U.K., 1998. Summer Project.
    • J. Neumann, "Classification and evaluation of algorithms for rule extraction from artificial neural networks," Ph.D. dissertation, Univ. Edinburgh, Edinburgh, U.K., 1998. Summer Project.
  • 24
    • 33644921465 scopus 로고    scopus 로고
    • Orthogonal search-based rule extraction (OSRE) for trained neural networks: A practical and efficient approach
    • Mar
    • T. Etchells and P. Lisboa, "Orthogonal search-based rule extraction (OSRE) for trained neural networks: A practical and efficient approach," IEEE Trans. Neural Netw., vol. 17, no. 2, pp. 374-384, Mar. 2006.
    • (2006) IEEE Trans. Neural Netw , vol.17 , Issue.2 , pp. 374-384
    • Etchells, T.1    Lisboa, P.2
  • 25
    • 33845679519 scopus 로고    scopus 로고
    • Neural network explanation using inversion
    • Jan
    • E. Saad and D. Wunsch, "Neural network explanation using inversion," Neural Netw., vol. 20, no. 1, pp. 78-93, Jan. 2007.
    • (2007) Neural Netw , vol.20 , Issue.1 , pp. 78-93
    • Saad, E.1    Wunsch, D.2
  • 26
    • 0033343363 scopus 로고    scopus 로고
    • ANN-DT: An algorithm for extraction of decision trees from artificial neural networks
    • Nov
    • G. Schmitz, C. Aldrich, and F. Gouws, "ANN-DT: An algorithm for extraction of decision trees from artificial neural networks," IEEE Trans. Neural Netw., vol. 10, no. 6, pp. 1392-1401, Nov. 1999.
    • (1999) IEEE Trans. Neural Netw , vol.10 , Issue.6 , pp. 1392-1401
    • Schmitz, G.1    Aldrich, C.2    Gouws, F.3
  • 30
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Jun
    • J. Suykens and J. Vandewalle, "Least squares support vector machine classifiers," Neural Process. Lett., vol. 9, no. 3, pp. 293-300, Jun. 1999.
    • (1999) Neural Process. Lett , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.1    Vandewalle, J.2
  • 32
    • 0033334209 scopus 로고    scopus 로고
    • Multiclass least squares support vector machines
    • J. Suykens and J. Vandewalle, "Multiclass least squares support vector machines," in Proc. IJCNN, 1999, pp. 900-903.
    • (1999) Proc. IJCNN , pp. 900-903
    • Suykens, J.1    Vandewalle, J.2
  • 34
    • 0001939479 scopus 로고    scopus 로고
    • Sparse least squares support vector machine classifiers
    • J. Suykens, L. Lukas, and J. Vandewalle, "Sparse least squares support vector machine classifiers," in Proc. 8th ESANN, 2000, pp. 37-42.
    • (2000) Proc. 8th ESANN , pp. 37-42
    • Suykens, J.1    Lukas, L.2    Vandewalle, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.