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Volumn , Issue , 2008, Pages 512-519

Query-level stability and generalization in learning to rank

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; ALGORITHMS; EDUCATION; ELECTRIC NETWORK ANALYSIS; INFORMATION SERVICES; LEARNING SYSTEMS; PROGRAMMING THEORY; ROBOT LEARNING;

EID: 56449103193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390221     Document Type: Conference Paper
Times cited : (25)

References (14)
  • 1
    • 26944457342 scopus 로고    scopus 로고
    • Stability and generalization of bipartite ranking algorithms
    • Agarwal, S., & Niyogi, P. (2005). Stability and generalization of bipartite ranking algorithms. Proc. of COLT'05 (pp. 32-47).
    • (2005) Proc. of COLT'05 , pp. 32-47
    • Agarwal, S.1    Niyogi, P.2
  • 6
    • 34547987951 scopus 로고    scopus 로고
    • Learning to rank: From pairwise approach to listwise approach
    • Cao, Z., Qin, T., Liu, T.-Y., Tsai, M.-F., & Li, H. (2007). Learning to rank: from pairwise approach to listwise approach. ICML '07 (pp. 129-136).
    • (2007) ICML '07 , pp. 129-136
    • Cao, Z.1    Qin, T.2    Liu, T.-Y.3    Tsai, M.-F.4    Li, H.5
  • 7
    • 0018520640 scopus 로고
    • Distribution-free performance bounds for potential function rules
    • Devroye, L., & Wagner, T. (1979). Distribution-free performance bounds for potential function rules. IEEE Transactions on Information Theory, 25, 601-604.
    • (1979) IEEE Transactions on Information Theory , vol.25 , pp. 601-604
    • Devroye, L.1    Wagner, T.2
  • 8
    • 4644367942 scopus 로고    scopus 로고
    • An e cient boosting algorithm for combining preferences
    • Freund, Y., Iyer, R., Schapire, R. E., & Singer, Y. (2003). An e cient boosting algorithm for combining preferences. J. Mach. Learn. Res., 4, 933-969.
    • (2003) J. Mach. Learn. Res , vol.4 , pp. 933-969
    • Freund, Y.1    Iyer, R.2    Schapire, R.E.3    Singer, Y.4
  • 10
    • 1842637192 scopus 로고    scopus 로고
    • Cumulated gain-based evaluation of ir techniques
    • Järvelin, K., & Kekäläinen, J. (2002). Cumulated gain-based evaluation of ir techniques. ACM Trans. Inf. Syst., 20, 422-446.
    • (2002) ACM Trans. Inf. Syst , vol.20 , pp. 422-446
    • Järvelin, K.1    Kekäläinen, J.2
  • 11
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using click-through data
    • Joachims, T. (2002). Optimizing search engines using click-through data. KDD '02 (pp. 133-142).
    • (2002) KDD '02 , pp. 133-142
    • Joachims, T.1
  • 12
    • 85162006799 scopus 로고    scopus 로고
    • Mcrank: Learning to rank using multiple classi cation and gradient boosting
    • Li, P., Burges, C., & Wu, Q. (2007). Mcrank: Learning to rank using multiple classi cation and gradient boosting. NIPS2007.
    • (2007) NIPS2007
    • Li, P.1    Burges, C.2    Wu, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.