메뉴 건너뛰기




Volumn 8, Issue 6, 2013, Pages 1602-1609

Deformed kernel based extreme learning machine

Author keywords

Extreme learning machine (ELM); Random feature mapping; Reproducing kernel hilbert spaces (RKHS); Semi supervised learning

Indexed keywords

EXTREME LEARNING MACHINE; GENERALIZATION PERFORMANCE; MARGINAL DISTRIBUTION; RANDOM FEATURES; REPRODUCING KERNEL HILBERT SPACES; SEMI-SUPERVISED LEARNING; SUPERVISED LEARNING METHODS; UNLABELED SAMPLES;

EID: 84877955047     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.8.6.1602-1609     Document Type: Article
Times cited : (5)

References (31)
  • 1
    • 78049530568 scopus 로고    scopus 로고
    • Partial Lanczos extreme learning machine for single-output regression problems
    • Aug
    • X. Tang and M. Han, "Partial Lanczos extreme learning machine for single-output regression problems," Neurocomputing, vol. 72, no. 13-15, pp. 3066-3076, Aug. 2009.
    • (2009) Neurocomputing , vol.72 , Issue.13-15 , pp. 3066-3076
    • Tang, X.1    Han, M.2
  • 2
    • 44649099490 scopus 로고    scopus 로고
    • Extreme support vector machine classifier
    • Q. Liu, Q. He, and Z.-Z. Shi, "Extreme support vector machine classifier," Lecture Notes in Computer Science, vol. 5012, pp. 222-233, 2008.
    • (2008) Lecture Notes in Computer Science , vol.5012 , pp. 222-233
    • Liu, Q.1    He, Q.2    Shi, Z.-Z.3
  • 3
    • 84887012141 scopus 로고    scopus 로고
    • Using SVMs with randomised feature spaces: An extreme learning approach
    • Apr. 28-30
    • B. Frénay and M. Verleysen, "Using SVMs with randomised feature spaces: An extreme learning approach," in Proc. 18th ESANN, Bruges, Belgium, Apr. 28-30, pp. 315-320, 2010.
    • (2010) Proc. 18th ESANN, Bruges, Belgium , pp. 315-320
    • Frénay, B.1    Verleysen, M.2
  • 5
    • 67650463106 scopus 로고    scopus 로고
    • Regularized extreme learning machine
    • in, Mar. 30-Apr. 2
    • W. Deng, Q. Zheng, and L. Chen, "Regularized extreme learning machine," in Proc. IEEE Symp. CIDM, Mar. 30-Apr. 2, pp. 389-395, 2009.
    • (2009) Proc. IEEE Symp. CIDM , pp. 389-395
    • Deng, W.1    Zheng, Q.2    Chen, L.3
  • 6
    • 10944272650 scopus 로고    scopus 로고
    • Extreme learning machine: A new learning scheme of feedforward neural networks
    • in, Jul. 25-29
    • G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: A new learning scheme of feedforward neural networks," in Proc. IJCNN, Budapest, Hungary, Jul. 25-29, vol. 2, pp. 985-990., 2004.
    • (2004) Proc. IJCNN, Budapest, Hungary , vol.2 , pp. 985-990
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 7
    • 33745903481 scopus 로고    scopus 로고
    • Extreme learning machine: Theory and applications
    • Dec
    • G.-B. Huang, Q.-Y. Zhu, and C.-K. Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, no. 1-3, pp. 489-501, Dec. 2006.
    • (2006) Neurocomputing , vol.70 , Issue.1-3 , pp. 489-501
    • Huang, G.-B.1    Zhu, Q.-Y.2    Siew, C.-K.3
  • 8
    • 33745918399 scopus 로고    scopus 로고
    • Universal approximation using incremental constructive feedforward networks with random hidden nodes
    • Jul
    • G.-B. Huang, L. Chen, and C.-K. Siew, "Universal approximation using incremental constructive feedforward networks with random hidden nodes," IEEE Trans. Neural Netw., vol. 17, no. 4, pp. 879-892, Jul. 2006.
    • (2006) IEEE Trans. Neural Netw , vol.17 , Issue.4 , pp. 879-892
    • Huang, G.-B.1    Chen, L.2    Siew, C.-K.3
  • 9
    • 34548158996 scopus 로고    scopus 로고
    • Convex incremental extreme learning ma-chine
    • Oct
    • G.-B. Huang and L. Chen, "Convex incremental extreme learning ma-chine," Neurocomputing, vol. 70, no. 16-18, pp. 3056-3062, Oct. 2007.
    • (2007) Neurocomputing , vol.70 , Issue.16-18 , pp. 3056-3062
    • Huang, G.-B.1    Chen, L.2
  • 10
    • 56549090053 scopus 로고    scopus 로고
    • Enhanced random search based incremental extreme learning machine
    • Oct
    • G.-B. Huang and L. Chen, "Enhanced random search based incremental extreme learning machine," Neurocomputing, vol. 71, no. 16-18, pp. 3460-3468, Oct. 2008.
    • (2008) Neurocomputing , vol.71 , Issue.16-18 , pp. 3460-3468
    • Huang, G.-B.1    Chen, L.2
  • 11
    • 0022471098 scopus 로고
    • Learning representations by back-propagation errors
    • D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning representations by back-propagation errors," Nature, vol. 323, pp. 533-536, 1986.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 12
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • In
    • T. Joachims. Transductive inference for text classification using support vector machines. In ICML 16, pp: 200-209, 1999.
    • (1999) ICML , vol.16 , pp. 200-209
    • Joachims, T.1
  • 13
    • 84898958346 scopus 로고    scopus 로고
    • Semi-supervised support vector machines
    • In
    • K. P. Bennett and A. Demiriz. Semi-supervised support vector machines. In NIPS, pages 368-374, 1999.
    • (1999) NIPS , pp. 368-374
    • Bennett, K.P.1    Demiriz, A.2
  • 14
    • 84864069202 scopus 로고    scopus 로고
    • Branch and bound for semi-supervised support vector machines
    • In
    • O. Chapelle, V. Sindhwani, and S. S. Keerthi. Branch and bound for semi-supervised support vector machines. In NIPS, pages 217-224, 2006.
    • (2006) NIPS , pp. 217-224
    • Chapelle, O.1    Sindhwani, V.2    Keerthi, S.S.3
  • 15
    • 51949086172 scopus 로고    scopus 로고
    • Semi-supervised classification by low density separation
    • In
    • O. Chapelle and A. Zien. Semi-supervised classification by low density separation. In AISTATS 10, 2005.
    • (2005) AISTATS , vol.10
    • Chapelle, O.1    Zien, A.2
  • 18
    • 56449089515 scopus 로고    scopus 로고
    • Unsupervised and semisupervised multi-class support vector machines
    • L. Xu and D. Schuurmans. Unsupervised and semisupervised multi-class support vector machines. In AAAI, 2005.
    • (2005) AAAI
    • Xu, L.1    Schuurmans, D.2
  • 19
    • 85162020557 scopus 로고    scopus 로고
    • Efficient convex relaxation for transductive support vector machine
    • In
    • Z. Xu, R. Jin, J. Zhu, I. King, and M. Lyu. Efficient convex relaxation for transductive support vector machine. In NIPS, 2007.
    • (2007) NIPS
    • Xu, Z.1    Jin, R.2    Zhu, J.3    King, I.4    Lyu, M.5
  • 20
    • 33749257143 scopus 로고    scopus 로고
    • A continuation method for semi-supervised svms
    • O. Chapelle, M. Chi, and A. Zien. A continuation method for semi-supervised svms. In ICML 23, pages 185-192, 2006.
    • (2006) ICML , vol.23 , pp. 185-192
    • Chapelle, O.1    Chi, M.2    Zien, A.3
  • 21
    • 36248967561 scopus 로고    scopus 로고
    • Nonsmooth optimization techniques for semi-supervised classification
    • A. Astorino and A. Fuduli. Nonsmooth optimization techniques for semi-supervised classification. IEEE Trans. Pattern Anal. Mach. Intell., 29(12): 2135-2142, 2007.
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell , vol.29 , Issue.12 , pp. 2135-2142
    • Astorino, A.1    Fuduli, A.2
  • 23
    • 0036454664 scopus 로고    scopus 로고
    • Semi-supervised support vector machines for unlabeled data classification
    • G. Fung and O. Mangasarian. Semi-supervised support vector machines for unlabeled data classification. Optimization Methods and Software, 15: 29-44, 2001.
    • (2001) Optimization Methods and Software , vol.15 , pp. 29-44
    • Fung, G.1    Mangasarian, O.2
  • 24
    • 33749242620 scopus 로고    scopus 로고
    • Deterministic annealing for semi-supervised kernel machines
    • V. Sindhwani, S. S. Keerthi, and O. Chapelle. Deterministic annealing for semi-supervised kernel machines. In ICML 23, pp: 841-848, 2006.
    • (2006) ICML , vol.23 , pp. 841-848
    • Sindhwani, V.1    Keerthi, S.S.2    Chapelle, O.3
  • 27
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
    • M. Belkin, V. Sindhwani, P. Niyogi, Manifold regularization: a geometric framework for learning from labeled and unlabeled examples, J. Mach. Learn. Res. 7: 2399-2434, 2006.
    • (2006) J. Mach. Learn. Res , vol.7 , pp. 2399-2434
    • Belkin, M.1    Sindhwani, V.2    Niyogi, P.3
  • 28
    • 51649109792 scopus 로고    scopus 로고
    • Discriminatively regularized least-squares classification
    • H. Xue, S. Chen, Q. Yang, Discriminatively regularized least-squares classification, Pattern Recognition 42(1) pp: 93-104, 2009.
    • (2009) Pattern Recognition , vol.42 , Issue.1 , pp. 93-104
    • Xue, H.1    Chen, S.2    Yang, Q.3
  • 29
    • 79953034462 scopus 로고    scopus 로고
    • Sparse regularization for semi-supervised classification
    • Mingyu Fan, Nannan Gu, Hong Qiao, etc. Sparse regularization for semi-supervised classification. Pattern Recognition, 44(8), pp: 1777-1784, 2011
    • (2011) Pattern Recognition , vol.44 , Issue.8 , pp. 1777-1784
    • Fan, M.1    Gu, N.2    Qiao, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.