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Volumn , Issue , 2013, Pages 613-623

Centering similarity measures to reduce hubs

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL SYSTEMS; METADATA; NEAREST NEIGHBOR SEARCH;

EID: 84926334068     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (31)

References (31)
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  • 2
    • 84902030030 scopus 로고    scopus 로고
    • The matrix-forest theorem and measuring relations in small social groups
    • P. Yu. Chebotarev and E. V. Shamis. 1997. The matrix-forest theorem and measuring relations in small social groups. Automation and Remote Control, 58(9):1505-1514.
    • (1997) Automation and Remote Control , vol.58 , Issue.9 , pp. 1505-1514
    • Chebotarev, P.Yu.1    Shamis, E.V.2
  • 7
    • 0003368229 scopus 로고    scopus 로고
    • Learning from data: Artificial intelligence and statistics V: Workshop on artificial intelligence and statistics
    • Springer
    • Douglas H. Fisher and Hans-Joachim Lenz, editors. 1996. Learning from Data: Artificial Intelligence and Statistics V: Workshop on Artificial Intelligence and Statistics. Lecture Notes in Statistics 112. Springer.
    • (1996) Lecture Notes in Statistics 112
    • Fisher, D.H.1    Lenz, H.-J.2
  • 10
    • 84876811202 scopus 로고    scopus 로고
    • RCV1: A new benchmark collection for text categorization research
    • David D. Lewis, Yiming Yang, Tony G. Rose, and Fan Li. 2004. RCV1: a new benchmark collection for text categorization research. Journal of Machine Learning Research, 5:361-397.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.G.3    Li, F.4
  • 11
    • 84868306775 scopus 로고
    • Another comment on O'Cinneide
    • Colin Mallows. 1991. Another comment on O'Cinneide. The American Statistician, 45(3):257.
    • (1991) The American Statistician , vol.45 , Issue.3 , pp. 257
    • Mallows, C.1
  • 16
    • 85069911126 scopus 로고    scopus 로고
    • Co-training and self-training for word sense disambiguation
    • Hwee Tou Ng and Ellen Riloff, editors Boston, Massachusetts, USA
    • Rada Mihalcea. 2004. Co-training and self-training for word sense disambiguation. In Hwee Tou Ng and Ellen Riloff, editors, Proceedings of the 8th Conference on Computational Natural Language Learning (CoNLL '04), pages 33-40, Boston, Massachusetts, USA.
    • (2004) Proceedings of the 8th Conference on Computational Natural Language Learning (CoNLL '04) , pp. 33-40
    • Mihalcea, R.1
  • 18
    • 61949087310 scopus 로고    scopus 로고
    • Word sense disambiguation: A survey
    • Roberto Navigli. 2009. Word sense disambiguation: A survey. ACM Computing Surveys, 41:10:1-10:69.
    • (2009) ACM Computing Surveys , vol.41 , pp. 101-1069
    • Navigli, R.1
  • 24
    • 0347596961 scopus 로고    scopus 로고
    • Automatic word sense discrimination
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    • (1998) Computational Linguistics , vol.24 , pp. 97-123
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  • 29
    • 29144482039 scopus 로고    scopus 로고
    • Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
    • Jigang Wang, Predrag Neskovic, and Leon N. Cooper. 2006. Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence. Pattern Recognition, 39(3):417-423.
    • (2006) Pattern Recognition , vol.39 , Issue.3 , pp. 417-423
    • Wang, J.1    Neskovic, P.2    Cooper, L.N.3
  • 30
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • Kilian Q. Weinberger and Lawrence K. Saul. 2009. Distance metric learning for large margin nearest neighbor classification. Journal of Machine Learning Research, 10:207-244.
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    • Weinberger, K.Q.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.