메뉴 건너뛰기




Volumn , Issue , 2010, Pages 1882-1885

Fixed-budget kernel recursive least-squares

Author keywords

Fixed budget; Kernel methods; Machine learning; Nonlinear filtering; Recursive least squares

Indexed keywords

ADAPTIVE FILTERING; ADAPTIVE FILTERS; BUDGET CONTROL; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS;

EID: 78049413965     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495350     Document Type: Conference Paper
Times cited : (100)

References (15)
  • 2
    • 0001071040 scopus 로고
    • A resource-allocating network for function interpolation
    • J. Platt, "A resource-allocating network for function interpolation," Neural Computation, vol. 3, no. 2, pp. 213-225, 1991.
    • (1991) Neural Computation , vol.3 , Issue.2 , pp. 213-225
    • Platt, J.1
  • 4
    • 72149098116 scopus 로고    scopus 로고
    • An information theoretic approach of designing sparse kernel adaptive filters
    • Dec.
    • W. Liu, I. Park, and J. C. Príncipe, "An information theoretic approach of designing sparse kernel adaptive filters," IEEE Transactions on Neural Networks, vol. 20, no. 12, pp. 1950-1961, Dec. 2009.
    • (2009) IEEE Transactions on Neural Networks , vol.20 , Issue.12 , pp. 1950-1961
    • Liu, W.1    Park, I.2    Príncipe, J.C.3
  • 7
    • 0037507242 scopus 로고    scopus 로고
    • Pruning error minimization in least squares support vector machines
    • May
    • B.J. de Kruif and T.J.A. de Vries, "Pruning error minimization in least squares support vector machines," IEEE Transactions on Neural Networks, vol. 14, no. 3, pp. 696-702, May 2003.
    • (2003) IEEE Transactions on Neural Networks , vol.14 , Issue.3 , pp. 696-702
    • De Kruif, B.J.1    De Vries, T.J.A.2
  • 9
    • 13844256702 scopus 로고    scopus 로고
    • A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation
    • Jan.
    • G.-B. Huang, P. Saratchandran, and N. Sundararajan, "A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation," IEEE Transactions on Neural Networks, vol. 16, no. 1, pp. 57-67, Jan. 2005.
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.1 , pp. 57-67
    • Huang, G.-B.1    Saratchandran, P.2    Sundararajan, N.3
  • 10
    • 55249109544 scopus 로고    scopus 로고
    • The forgetron: A kernel-based perceptron on a budget
    • O. Dekel, S. Shalev-Shwartz, and Y. Singer, "The forgetron: A kernel-based perceptron on a budget," SIAM Journal on Computing, vol. 37, no. 5, pp. 1342-1372, 2008.
    • (2008) SIAM Journal on Computing , vol.37 , Issue.5 , pp. 1342-1372
    • Dekel, O.1    Shalev-Shwartz, S.2    Singer, Y.3
  • 13
    • 43949083885 scopus 로고    scopus 로고
    • Nonlinear system identification using a new sliding-window kernel RLS algorithm
    • May
    • S. Van Vaerenbergh, J. Vía, and I. Santamaría, "Nonlinear system identification using a new sliding-window kernel RLS algorithm," Journal of Comm., vol. 2, no. 3, pp. 1-8, May 2007.
    • (2007) Journal of Comm. , vol.2 , Issue.3 , pp. 1-8
    • Van Vaerenbergh, S.1    Vía, J.2    Santamaría, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.