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Volumn 13, Issue , 2003, Pages 677-682

Tornado detection with kernel-based methods

Author keywords

[No Author keywords available]

Indexed keywords

KERNEL-BASED METHODS; LEARNING NETWORKS; LINEAR DISCRIMINANT ANALYSIS (LDA); VECTOR SUPPORT MACHINES (VSM);

EID: 2442439168     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (8)
  • 2
    • 0003413187 scopus 로고    scopus 로고
    • Prentice-Hall, Upper saddle River, NJ
    • nd edition, Prentice-Hall, Upper saddle River, NJ, 1999.
    • (1999) nd Edition
    • Haykin, S.1
  • 5
    • 0001712213 scopus 로고    scopus 로고
    • A neural network for tornado prediction based on doppler radar derived attributes
    • Marzban, C. and Stumpf, G. J., A Neural Network for Tornado Prediction Based on Doppler Radar Derived Attributes, Journal of Applied Meteorology, 35, 617-626, 1996.
    • (1996) Journal of Applied Meteorology , vol.35 , pp. 617-626
    • Marzban, C.1    Stumpf, G.J.2
  • 6
    • 0042496088 scopus 로고    scopus 로고
    • Optimal inequalities in probability theory: A convex optimization approach
    • INSEAD
    • Popescue, I. and Bertsimas, D., Optimal Inequalities in Probability Theory: A Convex Optimization Approach, Technical Report TM62, INSEAD, 2001.
    • (2001) Technical Report , vol.TM62
    • Popescue, I.1    Bertsimas, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.