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Volumn 15, Issue 2, 2000, Pages 708-711

Data condensation in large databases by incremental learning with support vector machines

Author keywords

Active Learning; Data Condensation; Data Mining; Incremental Learning; Support Vector Machines

Indexed keywords

CONDENSATION; LEARNING ALGORITHMS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

EID: 34147191747     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (65)

References (8)
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    • 0346786584 scopus 로고    scopus 로고
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    • L. Breiman. Arcing classifiers. Annals of Statistics, 26:801-849, 1998.
    • (1998) Annals of Statistics , vol.26 , pp. 801-849
    • Breiman, L.1
  • 4
    • 0030289446 scopus 로고    scopus 로고
    • Data mining and knowledge discovery in databases
    • Nov.
    • U. Fayyad and R. Uthurusamy. Data mining and knowledge discovery in databases. Communications of the ACM, 39(11):24-27, Nov. 1996.
    • (1996) Communications of the ACM , vol.39 , Issue.11 , pp. 24-27
    • Fayyad, U.1    Uthurusamy, R.2
  • 5
    • 84931162639 scopus 로고
    • The condensed nearest neigbor rule
    • P. E. Hart. The condensed nearest neigbor rule. IEEE Trans. Information Theory, 14:515-516, 1968.
    • (1968) IEEE Trans. Information Theory , vol.14 , pp. 515-516
    • Hart, P.E.1
  • 6
    • 0001663655 scopus 로고    scopus 로고
    • An improved training algorithm for support vector machines
    • IEEE
    • E. Osuna, R. Freund, and F. Girosi. An improved training algorithm for support vector machines. In IEEE NNSP'97. IEEE, 1997.
    • (1997) IEEE NNSP'97
    • Osuna, E.1    Freund, R.2    Girosi, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.