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Volumn 1969, Issue , 2000, Pages 108-119

Some formal analysis of Rocchio's similarity-based relevance feedback algorithm

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; VECTORS;

EID: 33744954923     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-40996-3_10     Document Type: Conference Paper
Times cited : (8)

References (17)
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    • 0347616108 scopus 로고
    • Interactive search strategies and dynamic file organization in information retrieval
    • In G. Salton, editor, Englewood Clifis, NJ, Prentice-Hall Inc
    • E. Ide. Interactive search strategies and dynamic file organization in information retrieval. In G. Salton, editor, The Smart System-Experiments in Automatic Document Processing, pages 373-393, Englewood Clifis, NJ, 1971. Prentice-Hall Inc.
    • (1971) The Smart System-Experiments in Automatic Document Processing , pp. 373-393
    • Ide, E.1
  • 6
    • 0002506661 scopus 로고
    • New experiments in relevance feedback
    • In G. Salton, editor, Englewood Clifis, NJ, Prentice-Hall Inc
    • E. Ide. New experiments in relevance feedback. In G. Salton, editor, The Smart Sy- stem-Experiments in Automatic Document Processing, pages 337-354, Englewood Clifis, NJ, 1971. Prentice-Hall Inc.
    • (1971) The Smart Sy- Stem-Experiments in Automatic Document Processing , pp. 337-354
    • Ide, E.1
  • 7
    • 0001560952 scopus 로고
    • Relevance feedback in information retrieval
    • In G. Salton, editor, Englewood Clifis, NJ, Prentice-Hall, Inc
    • Rocchio J.J.. Relevance feedback in information retrieval. In G. Salton, editor, The Smart Retrieval System-Experiments in Automatic Document Processing, pages 313-323, Englewood Clifis, NJ, 1971. Prentice-Hall, Inc.
    • (1971) The Smart Retrieval System-Experiments in Automatic Document Processing , pp. 313-323
    • Rocchio, J.J.1
  • 8
    • 0031375503 scopus 로고    scopus 로고
    • The perceptron algorithm vs. Winnow: Linear vs. logarithmic mistake bounds when few input variables are relevant
    • J. Kivinen, M.K. Warmuth, and P. Auer. The perceptron algorithm vs. winnow: linear vs. logarithmic mistake bounds when few input variables are relevant. Artificial Intelligence, pages 325-343, 1997.
    • (1997) Artificial Intelligence , pp. 325-343
    • Kivinen, J.1    Warmuth, M.K.2    Auer, P.3
  • 10
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear- threshold algorithm
    • N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear- threshold algorithm. Machine Learning, 2:285-318, 1988.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 12
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • F. Rosenblatt. The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6):386-407, 1958.
    • (1958) Psychological Review , vol.65 , Issue.6 , pp. 386-407
    • Rosenblatt, F.1
  • 15
    • 0016572913 scopus 로고
    • A vector space model for automatic indexing
    • G. Salton, A. Wong, and C.S. Yang. A vector space model for automatic indexing. Comm. of ACM, 18(11):613-620, 1975.
    • (1975) Comm. Of ACM , vol.18 , Issue.11 , pp. 613-620
    • Salton, G.1    Wong, A.2    Yang, C.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.