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Volumn , Issue , 2012, Pages 5254-5259

Learning from time series: Supervised Aggregative Feature Extraction

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; EXTRACTION; PREDICTIVE ANALYTICS; TIME SERIES;

EID: 84874234366     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2012.6427042     Document Type: Conference Paper
Times cited : (20)

References (11)
  • 1
    • 0000874557 scopus 로고
    • Theoretical foundations of the potential function method in pattern recognition learning
    • A. Aizerman, E.M. Braverman, L.I. Rozoner Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning, Automation and Remote Control 25, 821-837 (1964).
    • (1964) Automation and Remote Control , vol.25 , pp. 821-837
    • Aizerman, A.1    Braverman, E.M.2    Rozoner, L.I.3
  • 5
    • 0141569723 scopus 로고    scopus 로고
    • AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing
    • L. Monostori AI and machine learning techniques for managing complexity, changes and uncertainties in manufacturing, Engineering Applications of Artificial Intelligence 16(4), 277-291 (2003).
    • (2003) Engineering Applications of Artificial Intelligence , vol.16 , Issue.4 , pp. 277-291
    • Monostori, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.