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Volumn 2972, Issue , 2004, Pages 282-291

Analysing spectroscopic data using hierarchical cooperative maximum likelihood hebbian learning

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; FEATURE EXTRACTION; INFORMATION RETRIEVAL; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; VECTORS; ARTIFICIAL INTELLIGENCE; COST FUNCTIONS; MAXIMUM LIKELIHOOD;

EID: 9444259806     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24694-7_29     Document Type: Conference Paper
Times cited : (2)

References (16)
  • 2
    • 0005819124 scopus 로고    scopus 로고
    • Modeling multiple cause structure using rectification constraints
    • May
    • D. Charles, and C. Fyfe, Modeling Multiple Cause Structure Using Rectification Constraints. Network: Computation in Neural Systems, 9:167-182, May (1998)
    • (1998) Network: Computation in Neural Systems , vol.9 , pp. 167-182
    • Charles, D.1    Fyfe, C.2
  • 5
    • 0031207174 scopus 로고    scopus 로고
    • A neural network for PCA and beyond
    • C. Fyfe A Neural Network for PCA and Beyond, Neural Processing Letters, 6:33-41. 1996.
    • (1996) Neural Processing Letters , vol.6 , pp. 33-41
    • Fyfe, C.1
  • 7
    • 0002399288 scopus 로고
    • Neural networks, principal components and subspaces
    • E. Oja, Neural Networks, Principal Components and Subspaces, International Journal of Neural Systems, 1:61-68. (1989)
    • (1989) International Journal of Neural Systems , vol.1 , pp. 61-68
    • Oja, E.1
  • 9
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • NeuroCOLT2 Technical Report Series
    • A.J. Smola and B. Scholkopf, A Tutorial on Support Vector Regression. Technical Report NC2-TR-1998-030, NeuroCOLT2 Technical Report Series. (1998)
    • (1998) Technical Report , vol.NC2-TR-1998-030
    • Smola, A.J.1    Scholkopf, B.2
  • 10
    • 0027206958 scopus 로고
    • Least mean square error reconstruction for self-organizing nets
    • L. Xu, Least Mean Square Error Reconstruction for Self-Organizing Nets", Neural Networks, Vol. 6, pp. 627-648. (1993)
    • (1993) Neural Networks , vol.6 , pp. 627-648
    • Xu, L.1
  • 11
    • 0028272776 scopus 로고
    • Representation and separation of signals using non-linear PCA type learning
    • J. Karhunen, and J. Joutsensalo, Representation and Separation of Signals Using Non-linear PCA Type Learning, Neural Networks, 7:113-127. (1994)
    • (1994) Neural Networks , vol.7 , pp. 113-127
    • Karhunen, J.1    Joutsensalo, J.2
  • 13
    • 0016102310 scopus 로고
    • A projection pursuit algorithm for exploratory data analysis
    • J. Friedman and J. Tukey. A Projection Pursuit Algorithm for Exploratory Data Analysis. IEEE Transaction on Computers, (23): 881-890. (1974)
    • (1974) IEEE Transaction on Computers , Issue.23 , pp. 881-890
    • Friedman, J.1    Tukey, J.2
  • 14
    • 9444235759 scopus 로고    scopus 로고
    • Orientation selection using maximum likelihood Hebbian learning
    • ISSN: 1327-2314. Brighton, United Kingdom. April
    • E. Corchado and C. Fyfe, Orientation Selection Using Maximum Likelihood Hebbian Learning, International Journal of Knowledge-Based Intelligent Engineering Systems Volume 7 Number 2, ISSN: 1327-2314. Brighton, United Kingdom. April (2003)
    • (2003) International Journal of Knowledge-based Intelligent Engineering Systems , Issue.2
    • Corchado, E.1    Fyfe, C.2
  • 16
    • 84947572967 scopus 로고    scopus 로고
    • Maximum and minimum likelihood Hebbian learning for exploratory projection pursuit
    • Kluwer Academic Publishing, (In press)
    • E. Corchado, D. MacDonald, and C. Fyfe, Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit, Data mining and Knowledge Discovery, Kluwer Academic Publishing, (In press)
    • Data Mining and Knowledge Discovery
    • Corchado, E.1    MacDonald, D.2    Fyfe, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.