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Volumn 24, Issue 8, 2013, Pages 1200-1212

Knowledge-leverage-based TSK fuzzy system modeling

Author keywords

Fuzzy modeling; fuzzy systems (FS); knowledge leverage (KL); missing data; transfer learning

Indexed keywords

FUZZY MODELING; FUZZY MODELING METHOD; FUZZY SYSTEM MODELING; GENERALIZATION CAPABILITY; KNOWLEDGE LEVERAGE (KL); MISSING DATA; REAL-WORLD DATASETS; TRANSFER LEARNING;

EID: 84880920607     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2013.2253617     Document Type: Article
Times cited : (141)

References (51)
  • 1
    • 77956031473 scopus 로고    scopus 로고
    • A survey on transfer learning
    • Oct
    • S. J. Pan and Q. Yang, "A survey on transfer learning," IEEE Trans. Knowl. Data Eng., vol. 22, no. 10, pp. 1345-1359, Oct. 2010.
    • (2010) IEEE Trans. Knowl. Data Eng. , vol.22 , Issue.10 , pp. 1345-1359
    • Pan, S.J.1    Yang, Q.2
  • 4
    • 34547994328 scopus 로고    scopus 로고
    • Discriminative learning for differing training and test distributions
    • S. Bickel, M. Brckner, and T. Scheffer, "Discriminative learning for differing training and test distributions," in Proc. 24th Int. Conf. Mach. Learn., 2007, pp. 81-88.
    • (2007) Proc. 24th Int. Conf. Mach. Learn. , pp. 81-88
    • Bickel, S.1    Brckner, M.2    Scheffer, T.3
  • 6
  • 9
    • 36348976361 scopus 로고    scopus 로고
    • Mapping and revising Markov logic networks for transfer learning
    • AAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
    • L. Mihalkova, T. Huynh, and R.J. Mooney, "Mapping and revising markov logic networks for transfer learning," in Proc. 22nd Assoc. Adv. Artif. Intell. Conf., Jul. 2007, pp. 608-614. (Pubitemid 350149637)
    • (2007) Proceedings of the National Conference on Artificial Intelligence , vol.1 , pp. 608-614
    • Mihalkova, L.1    Huynh, T.2    Mooney, R.J.3
  • 12
    • 79951681949 scopus 로고    scopus 로고
    • Domain adaptation via transfer component analysis
    • Feb
    • S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang, "Domain adaptation via transfer component analysis," IEEE Trans. Neural Netw., vol. 22, no. 2, pp. 199-210, Feb. 2011.
    • (2011) IEEE Trans. Neural Netw. , vol.22 , Issue.2 , pp. 199-210
    • Pan, S.J.1    Tsang, I.W.2    Kwok, J.T.3    Yang, Q.4
  • 15
  • 17
    • 77954448372 scopus 로고    scopus 로고
    • Regression transfer learning based on principal curve
    • Jun.
    • W. Mao, G. Yan, J. Bai, and H. Li, "Regression transfer learning based on principal curve," in Proc. 7th Int. Symp. Neural Netw., Jun. 2010, pp. 365-372.
    • (2010) Proc. 7th Int. Symp. Neural Netw. , pp. 365-372
    • Mao, W.1    Yan, G.2    Bai, J.3    Li, H.4
  • 18
    • 77249170786 scopus 로고    scopus 로고
    • Transfer regression model for indoor 3D location estimation
    • Jan.
    • J. Liu, Y. Chen, and Y. Zhang, "Transfer regression model for indoor 3D location estimation," in Proc. 16th Int. Multimedia Model. Conf., Jan. 2010, pp. 603-613.
    • (2010) Proc. 16th Int. Multimedia Model. Conf. , pp. 603-613
    • Liu, J.1    Chen, Y.2    Zhang, Y.3
  • 20
    • 79953646805 scopus 로고    scopus 로고
    • Scalable TSK fuzzy modeling for very large datasets using minimal-enclosing-ball approximation
    • Apr
    • Z. H. Deng, K. S. Choi, F. L. Chung, and S. T. Wang, "Scalable TSK fuzzy modeling for very large datasets using minimal-enclosing-ball approximation," IEEE Trans. Fuzzy Syst., vol. 19, no. 2, pp. 210-226, Apr. 2011.
    • (2011) IEEE Trans. Fuzzy Syst. , vol.19 , Issue.2 , pp. 210-226
    • Deng, Z.H.1    Choi, K.S.2    Chung, F.L.3    Wang, S.T.4
  • 26
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its application to modeling and control
    • Jan.-Feb
    • T. Takagi and M. Sugeno, "Fuzzy identification of systems and its application to modeling and control," IEEE Trans. Syst. Man, Cybern., vol. 15, no. 1, pp. 116-132, Jan.-Feb. 1985.
    • (1985) IEEE Trans. Syst. Man, Cybern. , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 27
    • 0017703889 scopus 로고
    • Application of fuzzy logic to approximate reasoning using linguistic synthesis
    • Dec
    • E. H. Mamdani, "Application of fuzzy logic to approximate reasoning using linguistic synthesis," IEEE Trans. Comput., vol. 26, no. 12, pp. 1182-1191, Dec. 1977.
    • (1977) IEEE Trans. Comput. , vol.26 , Issue.12 , pp. 1182-1191
    • Mamdani, E.H.1
  • 28
    • 0005619704 scopus 로고    scopus 로고
    • Generalization of adaptive neural-fuzzy inference systems
    • Nov
    • M. F. Azeem, M. Hanmandlu, and N. Ahmad, "Generalization of adaptive neural-fuzzy inference systems," IEEE Trans. Neural Netw., vol. 11, no. 6, pp. 1332-1346, Nov. 2000.
    • (2000) IEEE Trans. Neural Netw. , vol.11 , Issue.6 , pp. 1332-1346
    • Azeem, M.F.1    Hanmandlu, M.2    Ahmad, N.3
  • 29
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference systems
    • May
    • J.-S. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference systems," IEEE Trans. Syst., Man, Cybern., vol. 23, no. 3, pp. 665-685, May 1993.
    • (1993) IEEE Trans. Syst., Man, Cybern. , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.-S.R.1
  • 30
    • 17644395959 scopus 로고    scopus 로고
    • TSK-fuzzy modeling based on ε-insensitive learning
    • DOI 10.1109/TFUZZ.2004.840094
    • J. Leski, "TSK-fuzzy modeling based on-insensitive learning," IEEE Trans. Fuzzy Syst., vol. 13, no. 2, pp. 181-193, Apr. 2005. (Pubitemid 40556000)
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.2 , pp. 181-193
    • Leski, J.M.1
  • 31
    • 0032205732 scopus 로고    scopus 로고
    • Improving the interpretability of TSK fuzzy models by combining global learning and local learning
    • PII S1063670698082629
    • J. Yen, L. Wang, and C. W. Gillespie, "Improving the interpretability of TSK fuzzy models by combining global learning and local learning," IEEE Trans. Fuzzy Syst., vol. 6, no. 4, pp. 530-537, Aug. 1998. (Pubitemid 128750083)
    • (1998) IEEE Transactions on Fuzzy Systems , vol.6 , Issue.4 , pp. 530-537
    • Yen, J.1    Wang, L.2    Gillespie, C.W.3
  • 33
    • 29144499905 scopus 로고    scopus 로고
    • Working set selection using second order information for training support vector machines
    • Jan
    • R. E. Fan, P. H. Chen, and C. J. Lin, "Working set selection using second order information for training support vector machines," J. Mach. Learn. Res., vol. 6, pp. 1889-1918, Jan. 2005.
    • (2005) J. Mach. Learn. Res. , vol.6 , pp. 1889-1918
    • Fan, R.E.1    Chen, P.H.2    Lin, C.J.3
  • 34
    • 36248987406 scopus 로고    scopus 로고
    • Fuzzy system learned through fuzzy clustering and support vector machine for human skin color segmentation
    • Nov
    • C. F. Juang, S. H. Chiu, and S. J. Shiu, "Fuzzy system learned through fuzzy clustering and support vector machine for human skin color segmentation," IEEE Trans. Syst. Man, Cybern., vol. 37, no. 6, pp. 1077-1087, Nov. 2007.
    • (2007) IEEE Trans. Syst. Man, Cybern. , vol.37 , Issue.6 , pp. 1077-1087
    • Juang, C.F.1    Chiu, S.H.2    Shiu, S.J.3
  • 35
    • 67649993046 scopus 로고    scopus 로고
    • TS-fuzzy system-based support vector regression
    • Sep
    • C. F. Juang and C. D. Hsieh, "TS-fuzzy system-based support vector regression," Fuzzy Sets Syst., vol. 160, no. 17, pp. 2486-2504, Sep. 2009.
    • (2009) Fuzzy Sets Syst. , vol.160 , Issue.17 , pp. 2486-2504
    • Juang, C.F.1    Hsieh, C.D.2
  • 36
    • 70449699648 scopus 로고    scopus 로고
    • Enhanced soft subspace clustering integrating within-cluster and betweencluster information
    • Mar
    • Z. H. Deng, K. S. Choi, F. L. Chung, and S. T. Wang, "Enhanced soft subspace clustering integrating within-cluster and betweencluster information," Pattern Recognit., vol. 43, no. 3, pp. 767-781, Mar. 2010.
    • (2010) Pattern Recognit. , vol.43 , Issue.3 , pp. 767-781
    • Deng, Z.H.1    Choi, K.S.2    Chung, F.L.3    Wang, S.T.4
  • 37
    • 84862192949 scopus 로고    scopus 로고
    • Domain adaptation from multiple sources: A domain-dependent regularization approach
    • Mar
    • L. X. Duan, D. Xu, and I. W. Tsang, "Domain adaptation from multiple sources: A domain-dependent regularization approach," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 3, pp. 504-518, Mar. 2012.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst. , vol.23 , Issue.3 , pp. 504-518
    • Duan, L.X.1    Xu, D.2    Tsang, I.W.3
  • 39
    • 84862210850 scopus 로고    scopus 로고
    • On minimum distribution discrepancy support vector machine for domain adaptation
    • Nov
    • J. W. Tao, K. F. L. Chung, and S. T. Wang, "On minimum distribution discrepancy support vector machine for domain adaptation," Pattern Recognit., vol. 45, no. 11, pp. 3962-3984, Nov. 2012.
    • (2012) Pattern Recognit. , vol.45 , Issue.11 , pp. 3962-3984
    • Tao, J.W.1    Chung, K.F.L.2    Wang, S.T.3
  • 42
    • 84857108606 scopus 로고    scopus 로고
    • Fuzzy rule based median filter for gray-scale images
    • Apr
    • K. M. Singh, "Fuzzy rule based median filter for gray-scale images," J. Inf. Hiding Multimedia Signal Process., vol. 2, no. 2, pp. 108-122, Apr. 2011.
    • (2011) J. Inf. Hiding Multimedia Signal Process. , vol.2 , Issue.2 , pp. 108-122
    • Singh, K.M.1
  • 43
    • 84871256001 scopus 로고    scopus 로고
    • Bacterial foraging particle swarm optimization algorithm based fuzzy-VQ compression systems
    • Jul
    • H. M. Feng, J. H. Horng, and S. M. Jou, "Bacterial foraging particle swarm optimization algorithm based fuzzy-VQ compression systems," J. Inf. Hiding Multimedia Signal Process., vol. 3, no. 3, pp. 227-239, Jul. 2012.
    • (2012) J. Inf. Hiding Multimedia Signal Process. , vol.3 , Issue.3 , pp. 227-239
    • Feng, H.M.1    Horng, J.H.2    Jou, S.M.3
  • 44
    • 84868612368 scopus 로고    scopus 로고
    • Transfer learning for pedestrian detection
    • Jan
    • X. Cao, Z. Wang, P. Yan, and X. Li, "Transfer learning for pedestrian detection," Neurocomputing, vol. 100, no. 1, pp. 51-57, Jan. 2013.
    • (2013) Neurocomputing , vol.100 , Issue.1 , pp. 51-57
    • Cao, X.1    Wang, Z.2    Yan, P.3    Li, X.4
  • 45
    • 79958858308 scopus 로고    scopus 로고
    • Transfer latent variable model based on divergence analysis
    • Oct.-Nov
    • X. Gao, X. Wang, X. Li, and D. Tao, "Transfer latent variable model based on divergence analysis," Pattern Recognit., vol. 44, nos. 10-11, pp. 2358-2366, Oct.-Nov. 2011.
    • (2011) Pattern Recognit. , vol.44 , Issue.10-11 , pp. 2358-2366
    • Gao, X.1    Wang, X.2    Li, X.3    Tao, D.4
  • 47
    • 84863015875 scopus 로고    scopus 로고
    • Dyadic transfer learning for cross-domain image classification
    • Nov.
    • H. Wang, F. Nie, H. Huang, and C. Ding, "Dyadic transfer learning for cross-domain image classification," in Proc. IEEE Int. Conf. Comput. Vis., Nov. 2011, pp. 551-556.
    • (2011) Proc. IEEE Int. Conf. Comput. Vis. , pp. 551-556
    • Wang, H.1    Nie, F.2    Huang, H.3    Ding, C.4
  • 49
    • 84866710696 scopus 로고    scopus 로고
    • Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach
    • Jun.
    • L. Duan, D. Xu, and S. F. Chang, "Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach," in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., Jun. 2012, pp. 1338-1345.
    • (2012) Proc. IEEE Conf. Comput. Vis. Pattern Recognit. , pp. 1338-1345
    • Duan, L.1    Xu, D.2    Chang, S.F.3
  • 51
    • 84863396387 scopus 로고    scopus 로고
    • Domain adaptation for object recognition: An unsupervised approach
    • Nov.
    • R. Gopalan, R. Li, and R. Chellappa, "Domain adaptation for object recognition: An unsupervised approach," in Proc. IEEE Conf. Comput. Vis., Nov. 2011, pp. 999-1006.
    • (2011) Proc. IEEE Conf. Comput. Vis. , pp. 999-1006
    • Gopalan, R.1    Li, R.2    Chellappa, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.