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Volumn 50, Issue , 2014, Pages 60-71

Direct Kernel Perceptron (DKP): Ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation

Author keywords

Analytical weight calculation; Closed form solution; Extreme learning machine; Kernel based classification; Margin maximization; Parallel Delta rule; Support vector machine

Indexed keywords

ADAPTIVE BOOSTING; DECISION TREES; IMAGE RETRIEVAL; ITERATIVE METHODS; KNOWLEDGE ACQUISITION; NEURAL NETWORKS; PARAMETERIZATION; VECTOR SPACES;

EID: 84888254825     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2013.11.002     Document Type: Article
Times cited : (57)

References (39)
  • 1
    • 84888228152 scopus 로고    scopus 로고
    • UCI machine learning repository. URL .
    • Asuncion, A., & Newman, D. (2007). UCI machine learning repository. URL . http://www.ics.uci.edu/~mlearn/MLRepository.html.
    • (2007)
    • Asuncion, A.1    Newman, D.2
  • 2
    • 44649129329 scopus 로고    scopus 로고
    • A learning rule for very simple universal approximators consisting of a single layer of perceptrons
    • Auer P., Burgsteiner H., Maass W. A learning rule for very simple universal approximators consisting of a single layer of perceptrons. Neural Networks 2008, 1(21):786-795.
    • (2008) Neural Networks , vol.1 , Issue.21 , pp. 786-795
    • Auer, P.1    Burgsteiner, H.2    Maass, W.3
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Machine Learning 1996, 24(2):123-140.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Machine Learning 2001, 45(1):5-32.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 6
    • 84888242535 scopus 로고    scopus 로고
    • LIBSVM: a library for Support Vector Machines. URL .
    • Chang, C.-C., & Lin, C.-J. (2008). LIBSVM: a library for Support Vector Machines. URL . http://www.csie.ntu.edu.tw/~cjlin/libsvm.
    • (2008)
    • Chang, C.-C.1    Lin, C.-J.2
  • 7
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C., Vapnik V. Support-vector networks. Machine Learning 1995, 20(3):273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 80053043559 scopus 로고    scopus 로고
    • Common scab detection on potatoes using an infrared hyperspectral imaging
    • Springer, Proc. int. conf. on image analysis and processing
    • Dacal-Nieto A., Formella A., Carrión P., Vázquez-Fernández E., Fernández-Delgado M. Common scab detection on potatoes using an infrared hyperspectral imaging. LNCS 2011, Vol. 6979:303-312. Springer.
    • (2011) LNCS , vol.6979 , pp. 303-312
    • Dacal-Nieto, A.1    Formella, A.2    Carrión, P.3    Vázquez-Fernández, E.4    Fernández-Delgado, M.5
  • 9
    • 38649134526 scopus 로고    scopus 로고
    • Geometrical synthesis of MLP neural networks
    • Delogu R., Fanni A., Montisci A. Geometrical synthesis of MLP neural networks. Neurocomputing 2008, 71:919-930.
    • (2008) Neurocomputing , vol.71 , pp. 919-930
    • Delogu, R.1    Fanni, A.2    Montisci, A.3
  • 10
    • 85180619621 scopus 로고    scopus 로고
    • Fernández-Delgado, M., Ribeiro, J., Cernadas, E., & Barro, S. (2010). Fast weight calculation for kernel-based perceptron in two-class classification problems. In Proc. 2010 IEEE int. joint conf. on neural netw., vol. 1
    • Fernández-Delgado, M., Ribeiro, J., Cernadas, E., & Barro, S. (2010). Fast weight calculation for kernel-based perceptron in two-class classification problems. In Proc. 2010 IEEE int. joint conf. on neural netw., vol. 1 (pp. 1-6).
  • 11
    • 80455176946 scopus 로고    scopus 로고
    • Direct parallel perceptrons (DPPs): fast analytical calculation of the parallel perceptrons weights with margin control for classification tasks
    • Fernández-Delgado M., Ribeiro J., Cernadas E., Barro S. Direct parallel perceptrons (DPPs): fast analytical calculation of the parallel perceptrons weights with margin control for classification tasks. IEEE Transactions on Neural Networks 2011, 22:1837-1848.
    • (2011) IEEE Transactions on Neural Networks , vol.22 , pp. 1837-1848
    • Fernández-Delgado, M.1    Ribeiro, J.2    Cernadas, E.3    Barro, S.4
  • 12
    • 84983110889 scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting. In Proc. of the 2nd European conf.
    • on computational learning theory
    • Freund, Y., & Schapire, R. (1995). A decision-theoretic generalization of on-line learning and an application to boosting. In Proc. of the 2nd European conf. on computational learning theory (pp. 23-37).
    • (1995) , pp. 23-37
    • Freund, Y.1    Schapire, R.2
  • 13
    • 84876699595 scopus 로고    scopus 로고
    • Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary
    • González-Rufino E., Carrión P., Cernadas E., Fernández-Delgado M., Domínguez-Petit R. Exhaustive comparison of colour texture features and classification methods to discriminate cells categories in histological images of fish ovary. Pattern Recognition 2013, 46:2391-2407.
    • (2013) Pattern Recognition , vol.46 , pp. 2391-2407
    • González-Rufino, E.1    Carrión, P.2    Cernadas, E.3    Fernández-Delgado, M.4    Domínguez-Petit, R.5
  • 15
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • Hsu C.-W., Lin C.-J. A comparison of methods for multiclass support vector machines. IEEE Transactions on Neural Networks 2002, 13(2):415-425.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 16
    • 84888273866 scopus 로고    scopus 로고
    • Extreme learning machines: learning without iterative tuning. URL .
    • Huang, G.-B. (2010). Extreme learning machines: learning without iterative tuning. URL . http://www.extreme-learning-machines.org.
    • (2010)
    • Huang, G.-B.1
  • 17
    • 56549090053 scopus 로고    scopus 로고
    • Enhanced random search based incremental extreme learning machine
    • Huang G.-B., Chen L. Enhanced random search based incremental extreme learning machine. Neurocomputing 2008, 71:3460-3468.
    • (2008) Neurocomputing , vol.71 , pp. 3460-3468
    • Huang, G.-B.1    Chen, L.2
  • 18
    • 78649492473 scopus 로고    scopus 로고
    • Optimization method based extreme learning machine for classification
    • Huang G.-B., Ding X., Zhou H. Optimization method based extreme learning machine for classification. Neurocomputing 2010, 74:155-163.
    • (2010) Neurocomputing , vol.74 , pp. 155-163
    • Huang, G.-B.1    Ding, X.2    Zhou, H.3
  • 21
    • 77955983430 scopus 로고    scopus 로고
    • Comparison of several chemometric techniques for the classification of Orujo distillate alcoholic samples from Galicia (NW Spain) according to their certified brand of origin
    • Iglesias R., Fernández-Delgado M., Barciela J., Peña R., García-Martín S., Herrero C. Comparison of several chemometric techniques for the classification of Orujo distillate alcoholic samples from Galicia (NW Spain) according to their certified brand of origin. Analytical and Bioanalytical Chemistry 2010, 397(6):2603-2614.
    • (2010) Analytical and Bioanalytical Chemistry , vol.397 , Issue.6 , pp. 2603-2614
    • Iglesias, R.1    Fernández-Delgado, M.2    Barciela, J.3    Peña, R.4    García-Martín, S.5    Herrero, C.6
  • 22
    • 84888247856 scopus 로고    scopus 로고
    • Kernel Fisher discriminant analysis. (2013). URL .
    • Kernel Fisher discriminant analysis. (2013). URL . http://en.wikipedia.org/wiki/Kernel_Fisher_discriminant_analysis#Multi-class_KFD.
  • 23
    • 78650147592 scopus 로고    scopus 로고
    • A kernel-based nonlinear discriminator with closed-form solution.
    • on neural netw. and signal proc., vol. 1
    • Liu, B. (2003). A kernel-based nonlinear discriminator with closed-form solution. In Proc. int. conf. on neural netw. and signal proc., vol. 1 (pp. 41-44).
    • (2003) Proc. int. conf. , pp. 41-44
    • Liu, B.1
  • 24
    • 67949123173 scopus 로고    scopus 로고
    • SoftDoubleMaxMinOver: perceptron-like training of Support Vector Machines
    • Martinetz T., Labusch K., Schneegaß D. SoftDoubleMaxMinOver: perceptron-like training of Support Vector Machines. IEEE Transactions on Neural Networks 2009, 20(7):1061-1072.
    • (2009) IEEE Transactions on Neural Networks , vol.20 , Issue.7 , pp. 1061-1072
    • Martinetz, T.1    Labusch, K.2    Schneegaß, D.3
  • 25
    • 80051671932 scopus 로고    scopus 로고
    • TROP-ELM: a double-regularized ELM using LARS and Tikhonov regularization
    • Miche Y., van Heeswijk M., Bas P., Simula O., Lendasse A. TROP-ELM: a double-regularized ELM using LARS and Tikhonov regularization. Neurocomputing 2011, 74(16):2413-2421.
    • (2011) Neurocomputing , vol.74 , Issue.16 , pp. 2413-2421
    • Miche, Y.1    van Heeswijk, M.2    Bas, P.3    Simula, O.4    Lendasse, A.5
  • 28
    • 84866284017 scopus 로고    scopus 로고
    • Geometric algorithms to large margin classifier based on affine hulls
    • Peng X., Wang Y. Geometric algorithms to large margin classifier based on affine hulls. IEEE Transactions on Neural Networks 2012, 23(2):236-246.
    • (2012) IEEE Transactions on Neural Networks , vol.23 , Issue.2 , pp. 236-246
    • Peng, X.1    Wang, Y.2
  • 31
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht D. Probabilistic neural networks. Neural Networks 1990, 3(1):109-118.
    • (1990) Neural Networks , vol.3 , Issue.1 , pp. 109-118
    • Specht, D.1
  • 32
    • 0034814529 scopus 로고    scopus 로고
    • A closed-form neural network for discriminatory feature extraction from high-dimensional data
    • Talukder A., Casasent D. A closed-form neural network for discriminatory feature extraction from high-dimensional data. Neural Networks 2001, 14:1201-1218.
    • (2001) Neural Networks , vol.14 , pp. 1201-1218
    • Talukder, A.1    Casasent, D.2
  • 33
    • 84888223607 scopus 로고    scopus 로고
    • The R project for statistical computing. (2013). URL .
    • The R project for statistical computing. (2013). URL . http://www.r-project.org.
  • 34
    • 40649108086 scopus 로고    scopus 로고
    • An error-counting network for pattern classification
    • Toh K.-A. An error-counting network for pattern classification. Neurocomputing 2008, 71:1680-1693.
    • (2008) Neurocomputing , vol.71 , pp. 1680-1693
    • Toh, K.-A.1
  • 36
    • 84870234983 scopus 로고    scopus 로고
    • Architecture selection for networks trained with extreme learning machine using localized generalization error model
    • Wang X., Shao Q., Qing M., Zhai J. Architecture selection for networks trained with extreme learning machine using localized generalization error model. Neurocomputing 2013, 102:3-9.
    • (2013) Neurocomputing , vol.102 , pp. 3-9
    • Wang, X.1    Shao, Q.2    Qing, M.3    Zhai, J.4
  • 37
    • 52149111368 scopus 로고    scopus 로고
    • A hybrid ART-GRNN online learning neural network with an ε-insensitive loss function
    • Yap K.S., Lim C.P., Abidin I.Z. A hybrid ART-GRNN online learning neural network with an ε-insensitive loss function. IEEE Transactions on Neural Networks 2008, 19(9):1641-1646.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.9 , pp. 1641-1646
    • Yap, K.S.1    Lim, C.P.2    Abidin, I.Z.3
  • 39
    • 84865775801 scopus 로고    scopus 로고
    • Dynamic ensemble extreme learning machine based on sample entropy
    • Zhai J., Xu H., Wang X. Dynamic ensemble extreme learning machine based on sample entropy. Soft Computing 2012, 16(9):1493-1502.
    • (2012) Soft Computing , vol.16 , Issue.9 , pp. 1493-1502
    • Zhai, J.1    Xu, H.2    Wang, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.