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Volumn 1, Issue , 2002, Pages 457-461

Maximum and minimum likelihood Hebbian rules for exploratory projection pursuit

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; INFORMATION SCIENCE; MEAN SQUARE ERROR;

EID: 84965081700     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1202212     Document Type: Conference Paper
Times cited : (2)

References (16)
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    • C. Fyfe and R. Baddeley, Non-linear Data Structure Extraction using Simple Hebbian Learning, Biological Cybernetics,72(6), 533-541,1995.
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    • Complexity Pursuit: Separating interesting components from time series
    • A. Hyvärinen, Complexity Pursuit: Separating interesting components from time series. Neural Computation 13: 883-898, 2001.
    • (2001) Neural Computation , vol.13 , pp. 883-898
    • Hyvärinen, A.1
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    • Karhunen, J.1    Joutsensalo, J.2
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    • Self-organising ANNs for Planetary Surface Composition Research
    • E. Merenyi, 1994. Self-organising ANNs for Planetary Surface Composition Research. Journal of Geophysical Research, 99:E5, 10847-10865.
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    • Merenyi, E.1
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    • E. Oja, H. Ogawa, J. Wangviwattana, , Principal Components Analysis by Homogeneous Neural Networks, part 1, The Weighted Subspace Criterion, IEICE Transaction on Information and Systems, E75D: 366-375,May 1992.
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    • The eight-colour asteroid survey : Results fro 589 minor planets
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.