메뉴 건너뛰기




Volumn 3, Issue , 2002, Pages 2198-2203

Kernelized based functions with Minkovsky's norm for SVM regression

Author keywords

Kernel based learning algorithms; Regression and function approximation; Regularization; Support Vector Machines (SVMs)

Indexed keywords

APPROXIMATION THEORY; LAGRANGE MULTIPLIERS; LEARNING ALGORITHMS; NEURAL NETWORKS; QUADRATIC PROGRAMMING; TIME SERIES ANALYSIS;

EID: 0036082880     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (19)
  • 17
    • 0003984755 scopus 로고    scopus 로고
    • On the convergence of the decomposition method for support vector machines
    • tech. rep., Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
    • (2000)
    • Lin, C.-J.1
  • 18
    • 0004614981 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • tech. rep., Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
    • (2000)
    • Chang, C.-C.1    Lin, C.-J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.