메뉴 건너뛰기




Volumn 44, Issue 5, 2014, Pages 681-694

Projection-based ensemble learning for ordinal regression

Author keywords

Discriminant analysis; ensemble; logistic regression; ordinal classification; ordinal decomposition; ordinal regression; support vector machines; threshold models

Indexed keywords

DISCRIMINANT ANALYSIS; SUPPORT VECTOR MACHINES;

EID: 84899578727     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCYB.2013.2266336     Document Type: Article
Times cited : (47)

References (41)
  • 2
    • 0001306637 scopus 로고
    • Regression models for ordinal data
    • P. McCullagh, "Regression models for ordinal data," J. Royal Stat. Soc., vol. 42, no. 2, pp. 109-142, 1980.
    • (1980) J. Royal Stat. Soc. , vol.42 , Issue.2 , pp. 109-142
    • McCullagh, P.1
  • 3
    • 84948166287 scopus 로고    scopus 로고
    • A Simple Approach to Ordinal Classification
    • Machine Learning: ECML 2001
    • E. Frank and M. Hall, "A simple approach to ordinal classification," in Proc. 12th Eur. Conf. Mach. Learning, 2001, pp. 145-156. (Pubitemid 33331065)
    • (2001) Lecture Notes in Computer Science , Issue.2167 , pp. 145-156
    • Frank, E.1    Hall, M.2
  • 4
    • 77951766869 scopus 로고    scopus 로고
    • Kernel discriminant learning for ordinal regression
    • Jun.
    • B.-Y. Sun, J. Li, D. D. Wu, X.-M. Zhang, and W.-B. Li, "Kernel discriminant learning for ordinal regression," IEEE Trans. Knowl. Data Eng., vol. 22, no. 6, pp. 906-910, Jun. 2010.
    • (2010) IEEE Trans. Knowl. Data Eng. , vol.22 , Issue.6 , pp. 906-910
    • Sun, B.-Y.1    Li, J.2    Wu, D.D.3    Zhang, X.-M.4    Li, W.-B.5
  • 6
    • 9444235102 scopus 로고    scopus 로고
    • A Cost Sensitive Technique for Ordinal Classification Problems
    • Methods and Applications of Artificial Intelligence
    • S. B. Kotsiantis and P. E. Pintelas, "A cost sensitive technique for ordinal classification problems," in Proc. 3rd Hellenic Conf. Artif. Intell. (SETN), LNCS 3025. May 2004, pp. 220-229. (Pubitemid 38717053)
    • (2004) Lecture Notes in Computer Science , Issue.3025 , pp. 220-229
    • Kotsiantis, S.B.1    Pintelas, P.E.2
  • 7
    • 84857518260 scopus 로고    scopus 로고
    • An ensemble of weighted support vector machines for ordinal regression
    • W. Waegeman and L. Boullart, "An ensemble of weighted support vector machines for ordinal regression," Int. J. Comput. Syst. Sci. Eng., vol. 3, no. 1, pp. 1-7, 2009.
    • (2009) Int. J. Comput. Syst. Sci. Eng. , vol.3 , Issue.1 , pp. 1-7
    • Waegeman, W.1    Boullart, L.2
  • 8
    • 39649107920 scopus 로고    scopus 로고
    • Ordinal regression by extended binary classification
    • B. Schölkopf, J. Platt, and T. Hoffman, Eds.
    • L. Li and H.-T. Lin, "Ordinal regression by extended binary classification," in Advances in Neural Information Processing Systems, vol. 19, B. Schölkopf, J. Platt, and T. Hoffman, Eds. 2007, pp. 865-872.
    • (2007) Advances in Neural Information Processing Systems , vol.19 , pp. 865-872
    • Li, L.1    Lin, H.-T.2
  • 9
    • 34547698831 scopus 로고    scopus 로고
    • Learning to classify ordinal data: The data replication method
    • J. S. Cardoso and J. F. P. da Costa, "Learning to classify ordinal data: The data replication method," J. Mach. Learning Res., vol. 8, pp. 1393-1429, Jan. 2007. (Pubitemid 47210277)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1393-1429
    • Cardoso, J.S.1    Pinto Da Costa, J.F.2
  • 10
  • 11
    • 0003663926 scopus 로고
    • 2nd ed., Monographs on Statistics and Applied Probability. London, U.K.: Chapman & Hall/CRC
    • P. McCullagh and J. A. Nelder, Generalized Linear Models, 2nd ed., Monographs on Statistics and Applied Probability. London, U.K.: Chapman & Hall/CRC, 1989.
    • (1989) Generalized Linear Models
    • McCullagh, P.1    Nelder, J.A.2
  • 12
    • 21844453228 scopus 로고    scopus 로고
    • Gaussian processes for ordinal regression
    • W. Chu and Z. Ghahramani, "Gaussian processes for ordinal regression," J. Mach. Learning Res., vol. 6, no. 1, pp. 1019-1041, 2005.
    • (2005) J. Mach. Learning Res. , vol.6 , Issue.1 , pp. 1019-1041
    • Chu, W.1    Ghahramani, Z.2
  • 14
    • 75149176174 scopus 로고    scopus 로고
    • Ensemble-based classifiers
    • L. Rokach, "Ensemble-based classifiers," Artificial Intelligence Review, vol. 33, nos. 1-2, pp. 1-39, 2009.
    • (2009) Artificial Intelligence Review , vol.33 , Issue.1-2 , pp. 1-39
    • Rokach, L.1
  • 15
  • 17
    • 33847626350 scopus 로고    scopus 로고
    • Support vector ordinal regression
    • Mar.
    • W. Chu and S. S. Keerthi, "Support vector ordinal regression," Neural Comput., vol. 19, no. 3, pp. 792-815, Mar. 2007.
    • (2007) Neural Comput. , vol.19 , Issue.3 , pp. 792-815
    • Chu, W.1    Keerthi, S.S.2
  • 21
  • 22
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik, "Support-vector networks," Mach. Learning, vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Mach. Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 23
    • 0033322991 scopus 로고    scopus 로고
    • Support vector learning for ordinal regression
    • R. Herbrich, T. Graepel, and K. Obermayer, "Support vector learning for ordinal regression," in Proc. Int. Conf. Artif. Neural Netw., 1999, pp. 97-102. (Pubitemid 30519921)
    • (1999) IEE Conference Publication , vol.1 , Issue.470 , pp. 97-102
    • Herbrich Ralf1    Graepel Thore2    Obermayer Klaus3
  • 24
    • 21844466146 scopus 로고    scopus 로고
    • Advances in neural information processing systems
    • Cambridge, MA, USA: MIT Press
    • A. Shashua and A. Levin, "Advances in neural information processing systems," in Ranking with Large Margin Principle: Two Approaches, vol. 15, Cambridge, MA, USA: MIT Press, 2003, pp. 937-944.
    • (2003) Ranking with Large Margin Principle: Two Approaches , vol.15 , pp. 937-944
    • Shashua, A.1    Levin, A.2
  • 25
    • 0029183827 scopus 로고
    • Efficient classification for multiclass problems using modular neural networks
    • Jan.
    • R. Anand, K. Mehrotra, C. Mohan, and S. Ranka, "Efficient classification for multiclass problems using modular neural networks," IEEE Trans. Neural Netw., vol. 6, no. 1, pp. 117-124, Jan. 1995.
    • (1995) IEEE Trans. Neural Netw. , vol.6 , Issue.1 , pp. 117-124
    • Anand, R.1    Mehrotra, K.2    Mohan, C.3    Ranka, S.4
  • 26
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
    • Cambrdige, MA, USA: MIT Press
    • J. C. Platt, "Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods," in Advances in Large Margin Classifiers. Cambrdige, MA, USA: MIT Press, 1999, pp. 61-74.
    • (1999) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.C.1
  • 27
    • 80053455830 scopus 로고    scopus 로고
    • Support vector machines as probabilistic models
    • V. Franc, A. Zien, and B. Schölkopf, "Support vector machines as probabilistic models," in Proc. ICML, 2011, pp. 665-672.
    • (2011) Proc. ICML , pp. 665-672
    • Franc, V.1    Zien, A.2    Schölkopf, B.3
  • 28
    • 0032635030 scopus 로고    scopus 로고
    • Ensemble classification by criticdriven combining
    • Mar.
    • D. J. Miller and L. Yan, "Ensemble classification by criticdriven combining," in Proc. IEEE ICASSP-Volume 02, Mar. 1999, pp. 1029-1032.
    • (1999) Proc. IEEE ICASSP , vol.2 , pp. 1029-1032
    • Miller, D.J.1    Yan, L.2
  • 35
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • DOI 10.1109/72.991427, PII S1045922702018052
    • C.-W. Hsu and C.-J. Lin, "A comparison of methods for multi-class support vector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 415-425, Mar. 2002. (Pubitemid 34475042)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 39
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar, "Statistical comparisons of classifiers over multiple data sets," J. Mach. Learning Res., vol. 7, no. 1, pp. 1-30, 2006. (Pubitemid 43022939)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1
  • 41
    • 84864153221 scopus 로고    scopus 로고
    • Multiclass imbalance problems: Analysis and potential solutions
    • Aug.
    • S. Wang and X. Yao, "Multiclass imbalance problems: Analysis and potential solutions," IEEE Trans. Syst., Man, Cybern., Part B: Cybern., vol. 42, no. 4, pp. 1119-1130, Aug. 2012.
    • (2012) IEEE Trans. Syst., Man, Cybern., Part B: Cybern. , vol.42 , Issue.4 , pp. 1119-1130
    • Wang, S.1    Yao, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.