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Volumn , Issue , 2002, Pages 462-469

Margin Analysis of the LVQ Algorithm

Author keywords

[No Author keywords available]

Indexed keywords

1-NEAREST NEIGHBOR; GENERALIZATION BOUND; LARGE MARGIN PRINCIPLE; LEARNING VECTOR QUANTIZATION ALGORITHMS; MARGIN ANALYSIS; NEAREST NEIGHBOR CLASSIFIER; NEAREST NEIGHBOUR RULES; TRAINING ALGORITHMS;

EID: 85156210264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (109)

References (14)
  • 5
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R. E.2
  • 12
    • 84898974549 scopus 로고    scopus 로고
    • Machine learning for information retrieval: Advanced techniques
    • presented at
    • Y. Singer and D. D. Lewis. Machine learning for information retrieval: Advanced techniques. presented at ACM SIGIR 2000, 2000.
    • (2000) ACM SIGIR 2000
    • Singer, Y.1    Lewis, D. D.2
  • 14
    • 58149321460 scopus 로고
    • Boosting a weak learning algorithm by majority
    • Y. Freund. Boosting a weak learning algorithm by majority. Information and Computation, 121(2):256-285, 1995.
    • (1995) Information and Computation , vol.121 , Issue.2 , pp. 256-285
    • Freund, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.