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Volumn 9780521192248, Issue , 2011, Pages 148-169

Large-scale learning to rank using boosted decision trees

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DECISION TREES; DISTRIBUTED COMPUTER SYSTEMS; EDUCATION; INFORMATION RETRIEVAL; SCHEDULING ALGORITHMS; WEBSITES;

EID: 84923442411     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9781139042918.009     Document Type: Chapter
Times cited : (11)

References (19)
  • 1
    • 0345570094 scopus 로고    scopus 로고
    • Scaling to Very Very Large Corpora for Natural Language Disambiguation
    • Banko, M., and Brill, E. 2001. Scaling to Very Very Large Corpora for Natural Language Disambiguation. Pages 26-33 of: Association for Computational Linguistics (ACL).
    • (2001) Association for Computational Linguistics (ACL) , pp. 26-33
    • Banko, M.1    Brill, E.2
  • 5
    • 19544373409 scopus 로고    scopus 로고
    • A Framework for Learning from Distributed Data using Sufficient Statistics and Its Application to Learning Decision Trees
    • Caragea, D., Silvescu, A., and Honavar, V. 2004. A Framework for Learning from Distributed Data using Sufficient Statistics and Its Application to Learning Decision Trees. International Journal of Hybrid Intelligent Systems, 1(1-2), 80-89.
    • (2004) International Journal of Hybrid Intelligent Systems , vol.1 , Issue.1-2 , pp. 80-89
    • Caragea, D.1    Silvescu, A.2    Honavar, V.3
  • 8
    • 0002815587 scopus 로고    scopus 로고
    • A General Method for Scaling UpMachine Learning Algorithms and its Application to Clustering
    • Domingos, P., and Hulten, G. 2001. A General Method for Scaling UpMachine Learning Algorithms and its Application to Clustering. In: International Conference on Machine Learning (ICML).
    • (2001) International Conference on Machine Learning (ICML)
    • Domingos, P.1    Hulten, G.2
  • 11
    • 0035470889 scopus 로고    scopus 로고
    • Greedy Function Approximation: A Gradient BoostingMachine
    • Friedman, J. 2001. Greedy Function Approximation: A Gradient BoostingMachine. Annals of Statistics, 25(5), 1189-1232.
    • (2001) Annals of Statistics , vol.25 , Issue.5 , pp. 1189-1232
    • Friedman, J.1
  • 14
    • 0036495711 scopus 로고    scopus 로고
    • Boosting Algorithms for Parallel and Distributed Learning
    • Lazarevic, A., and Obradovic, Z. 2002. Boosting Algorithms for Parallel and Distributed Learning. Distributed and Parallel Databases, 11, 203-229.
    • (2002) Distributed and Parallel Databases , vol.11 , pp. 203-229
    • Lazarevic, A.1    Obradovic, Z.2
  • 16
    • 0141771188 scopus 로고    scopus 로고
    • A Survey of Methods for Scaling Up Induction Algorithms
    • Provost, F., and Fayyad, U. 1999. A Survey of Methods for Scaling Up Induction Algorithms. Data Mining and Knowledge Discovery, 3, 131-169.
    • (1999) Data Mining and Knowledge Discovery , vol.3 , pp. 131-169
    • Provost, F.1    Fayyad, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.