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Volumn 2006, Issue , 2006, Pages 629-630

Learning a ranking from pairwise preferences

Author keywords

Data fusion; Information retrieval

Indexed keywords

DATA PROCESSING; DATA STRUCTURES; LEARNING ALGORITHMS; LEARNING SYSTEMS; REGRESSION ANALYSIS; ALGORITHMS; DATA FUSION; INFORMATION RETRIEVAL SYSTEMS; MATHEMATICAL MODELS;

EID: 33750314747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1148170.1148289     Document Type: Conference Paper
Times cited : (23)

References (6)
  • 2
    • 85013063830 scopus 로고
    • Automatic combination of multiple ranked retrieval systems
    • B. Bartell, G. Cottrell, and R. Belew. Automatic Combination of Multiple Ranked Retrieval Systems. In Proceedings of SIGIR, pages 173-181, 1994.
    • (1994) Proceedings of SIGIR , pp. 173-181
    • Bartell, B.1    Cottrell, G.2    Belew, R.3
  • 4
    • 21844461582 scopus 로고    scopus 로고
    • A modified finite newton method for fast solution of large scale linear SVMs
    • Mar
    • S. Keerthi and D. DeCoste. A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. Journal of Machine Learning Research, pages 341-362, Mar 2005.
    • (2005) Journal of Machine Learning Research , pp. 341-362
    • Keerthi, S.1    DeCoste, D.2
  • 5
    • 33750331422 scopus 로고    scopus 로고
    • A formal approach to score normalization for metasearch
    • R. Manmatha and H. Sever. A Formal Approach to Score Normalization for Metasearch. In Proceedings of HLT, pages 88-93, 2002.
    • (2002) Proceedings of HLT , pp. 88-93
    • Manmatha, R.1    Sever, H.2
  • 6
    • 0242710936 scopus 로고    scopus 로고
    • A penalized maximum likelihood approach for the ranking of college football teams independent of victory margins
    • Nov
    • D. Mease. A Penalized Maximum Likelihood Approach for the Ranking of College Football Teams Independent of Victory Margins. The American Statistician, Nov 2003.
    • (2003) The American Statistician
    • Mease, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.