메뉴 건너뛰기




Volumn , Issue , 2011, Pages

Ensemble Ranking SVM for learning to rank

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CLASSIFICATION; DATA SETS; ENSEMBLE METHODS; LEARNING TO RANK; METHOD OF LEARNING; MODEL TRAINING; RANKING PERFORMANCE; RANKING SVM; TRAINING SETS; TRAINING TIME;

EID: 82455198893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2011.6064549     Document Type: Conference Paper
Times cited : (4)

References (19)
  • 1
    • 77954568972 scopus 로고    scopus 로고
    • LETOR: A benchmark collection for research on learning to rank for information retrieval
    • Qin, T., Liu, T.Y., Xu, J., & Li, H. (2010). LETOR: A benchmark collection for research on learning to rank for information retrieval. Inf. Retrieval, 13, 346-374.
    • (2010) Inf. Retrieval , vol.13 , pp. 346-374
    • Qin, T.1    Liu, T.Y.2    Xu, J.3    Li, H.4
  • 6
    • 0033322991 scopus 로고    scopus 로고
    • Support vector learning for ordinal regression
    • Herbrich, R., Graepel, T., & Obermayer, K. (1999). Support vector learning for ordinal regression. In Proceedings of ICANN 1999 (pp. 97-102). (Pubitemid 30519921)
    • (1999) IEE Conference Publication , vol.1 , Issue.470 , pp. 97-102
    • Herbrich, R.1    Graepel, T.2    Obermayer, K.3
  • 16
    • 1842637192 scopus 로고    scopus 로고
    • Cumulated gain-based evaluation of IR techniques
    • DOI 10.1145/582415.582418
    • Jarvelin, K. & Kekalainen, J. (2002). Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems, 20(4), 422-446. (Pubitemid 44642296)
    • (2002) ACM Transactions on Information Systems , vol.20 , Issue.4 , pp. 422-446
    • Jarvelin, K.1    Kekalainen, J.2
  • 17
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • Dietterich, T. G. (2000). Ensemble methods in machine learning. In Proceedings of MCS 2000 (pp. 1-15).
    • (2000) Proceedings of MCS 2000 , pp. 1-15
    • Dietterich, T.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.