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Volumn 4525 LNCS, Issue , 2007, Pages 1-22

An alternative ranking problem for search engines

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; COST FUNCTIONS; DATA STRUCTURES; ERROR ANALYSIS; LEARNING SYSTEMS; PROBLEM SOLVING;

EID: 37149011781     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72845-0_1     Document Type: Conference Paper
Times cited : (15)

References (18)
  • 1
    • 26944457342 scopus 로고    scopus 로고
    • Agarwal, S., Niyogi, P.: Stability and generalization of bipartite ranking algorithms. In: Auer, P., Meir, R. (eds.) COLT 2005. LNCS (LNAI), 3559, Springer, Heidelberg (2005)
    • Agarwal, S., Niyogi, P.: Stability and generalization of bipartite ranking algorithms. In: Auer, P., Meir, R. (eds.) COLT 2005. LNCS (LNAI), vol. 3559, Springer, Heidelberg (2005)
  • 2
    • 37149024947 scopus 로고    scopus 로고
    • Bousquet, O., Elisseeff, A.: Algorithmic stability and generalization performance. Advances in Neural Information Processing Systems (NIPS 2000) (2000)
    • Bousquet, O., Elisseeff, A.: Algorithmic stability and generalization performance. Advances in Neural Information Processing Systems (NIPS 2000) (2000)
  • 5
    • 84897965802 scopus 로고    scopus 로고
    • Cortes, C., Mohri, M.: AUC Optimization vs. Error Rate Minimization. In: Advances in Neural Information Processing Systems (NIPS 2003), MIT Press, Vancouver, Canada (2004)
    • Cortes, C., Mohri, M.: AUC Optimization vs. Error Rate Minimization. In: Advances in Neural Information Processing Systems (NIPS 2003), MIT Press, Vancouver, Canada (2004)
  • 7
    • 37149017227 scopus 로고    scopus 로고
    • Crammer, K., Singer, Y.: Pranking with ranking. Advances in Neural Information Processing Systems (NIPS 2001) (2001)
    • Crammer, K., Singer, Y.: Pranking with ranking. Advances in Neural Information Processing Systems (NIPS 2001) (2001)
  • 9
    • 0008371352 scopus 로고    scopus 로고
    • Large margin rank boundaries for ordinal regression
    • Smola, Bartlett, Schoelkopf, Schuurmans eds, MIT Press, Cambridge, MA
    • Herbrich, R., Graepel, T., Obermayer, K.: Large margin rank boundaries for ordinal regression. In: Smola, Bartlett, Schoelkopf, Schuurmans (eds.) Advances in large margin classifiers, MIT Press, Cambridge, MA (2000)
    • (2000) Advances in large margin classifiers
    • Herbrich, R.1    Graepel, T.2    Obermayer, K.3
  • 13
    • 0000672724 scopus 로고    scopus 로고
    • Concentration. Probabilistic Methods for Algorithmic
    • McDiarmid, C.: Concentration. Probabilistic Methods for Algorithmic Discrete Mathematics, pp. 195-248 (1998)
    • (1998) Discrete Mathematics , pp. 195-248
    • McDiarmid, C.1
  • 15
    • 26944478552 scopus 로고    scopus 로고
    • Rudin, C., Cortes, C., Mohri, M., Schapire, R.E.: Margin-Based Ranking Meets Boosting in the Middle. In: Auer, P., Meir, R. (eds.) COLT 2005. LNCS (LNAI), 3559, pp. 63-78. Springer, Heidelberg (2005)
    • Rudin, C., Cortes, C., Mohri, M., Schapire, R.E.: Margin-Based Ranking Meets Boosting in the Middle. In: Auer, P., Meir, R. (eds.) COLT 2005. LNCS (LNAI), vol. 3559, pp. 63-78. Springer, Heidelberg (2005)
  • 16
    • 84899011021 scopus 로고    scopus 로고
    • Shashua, A., Levin, A.: Ranking with large margin principle: Two approaches. Advances in Neural Information Processing Systems (NIPS 2003) (2003)
    • Shashua, A., Levin, A.: Ranking with large margin principle: Two approaches. Advances in Neural Information Processing Systems (NIPS 2003) (2003)


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