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Volumn 2015-May, Issue , 2015, Pages 1191-1202

Efficient sample generation for scalable meta learning

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING;

EID: 84940866421     PISSN: 10844627     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2015.7113367     Document Type: Conference Paper
Times cited : (14)

References (30)
  • 1
    • 84950645271 scopus 로고
    • The predictive sample reuse method with applications
    • S. Geisser, "The predictive sample reuse method with applications," Journal of the American Statistical Association, vol. 70, no. 350, pp. 320-328, 1975.
    • (1975) Journal of the American Statistical Association , vol.70 , Issue.350 , pp. 320-328
    • Geisser, S.1
  • 2
    • 0031536511 scopus 로고    scopus 로고
    • Improvements on cross-validation: The 632+ bootstrap method
    • B. Efron and R. Tibshirani, "Improvements on cross-validation: the 632+ bootstrap method," Journal of the American Statistical Association, vol. 92, no. 438, pp. 548-560, 1997.
    • (1997) Journal of the American Statistical Association , vol.92 , Issue.438 , pp. 548-560
    • Efron, B.1    Tibshirani, R.2
  • 3
    • 0000354976 scopus 로고
    • A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
    • P. Burman, "A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods," Biometrika, vol. 76, no. 3, pp. 503-514, 1989.
    • (1989) Biometrika , vol.76 , Issue.3 , pp. 503-514
    • Burman, P.1
  • 4
    • 84862684679 scopus 로고    scopus 로고
    • Large-scale machine learning at twitter
    • J. Lin and A. Kolcz, "Large-scale machine learning at twitter," Sigmod' 12, pp. 793-804.
    • Sigmod' 12 , pp. 793-804
    • Lin, J.1    Kolcz, A.2
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," Machine learning, vol. 24, no. 2, pp. 123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 8
    • 84870749286 scopus 로고    scopus 로고
    • "Apache Mahout. " [Online]. Available: http://mahout. apache. org
    • Apache Mahout
  • 9
    • 84880526880 scopus 로고    scopus 로고
    • Cumulon: Optimizing statistical data analysis in the cloud
    • B. Huang, S. Babu, and J. Yang, "Cumulon: optimizing statistical data analysis in the cloud," Sigmod'13, pp. 1-12.
    • Sigmod'13 , pp. 1-12
    • Huang, B.1    Babu, S.2    Yang, J.3
  • 10
    • 77951152705 scopus 로고    scopus 로고
    • Pegasus: A peta-scale graph mining system implementation and observations
    • U. Kang, C. E. Tsourakakis, and C. Faloutsos, "Pegasus: A peta-scale graph mining system implementation and observations," ICDM'09, pp. 229-238.
    • ICDM'09 , pp. 229-238
    • Kang, U.1    Tsourakakis, C.E.2    Faloutsos, C.3
  • 11
    • 77955032649 scopus 로고    scopus 로고
    • Planet: Massively parallel learning of tree ensembles with mapreduce
    • B. Panda, J. S. Herbach, S. Basu, and R. J. Bayardo, "Planet: massively parallel learning of tree ensembles with mapreduce," PVLDB'09, pp. 1426-1437.
    • PVLDB'09 , pp. 1426-1437
    • Panda, B.1    Herbach, J.S.2    Basu, S.3    Bayardo, R.J.4
  • 14
    • 38249002658 scopus 로고
    • The computer generation of multinomial random variates
    • C. S. Davis, "The computer generation of multinomial random variates," Computational statistics & data analysis, vol. 16(2), pp. 205-217, 1993.
    • (1993) Computational Statistics & Data Analysis , vol.16 , Issue.2 , pp. 205-217
    • Davis, C.S.1
  • 16
    • 84873130876 scopus 로고    scopus 로고
    • Myriad: Scalable and expressive data generation
    • A. Alexandrov, K. Tzoumas, and V. Markl, "Myriad: scalable and expressive data generation," PVLDB'12, pp. 1890-1893.
    • PVLDB'12 , pp. 1890-1893
    • Alexandrov, A.1    Tzoumas, K.2    Markl, V.3
  • 17
    • 84870452716 scopus 로고    scopus 로고
    • "Apache Hadoop. " [Online]. Available: http://hadoop. apache. org
    • Apache Hadoop
  • 20
    • 79957872898 scopus 로고    scopus 로고
    • Hyracks: A flexible and extensible foundation for data-intensive computing
    • V. Borkar, M. Carey, R. Grover, N. Onose, and R. Vernica, "Hyracks: A flexible and extensible foundation for data-intensive computing," ICDE'11, pp. 1151-1162.
    • ICDE'11 , pp. 1151-1162
    • Borkar, V.1    Carey, M.2    Grover, R.3    Onose, N.4    Vernica, R.5
  • 21
    • 85008044987 scopus 로고    scopus 로고
    • Matrix factorization techniques for recommender systems
    • Y. Koren, R. Bell, and C. Volinsky, "Matrix factorization techniques for recommender systems," Computer, vol. 42, pp. 30-37, 2009.
    • (2009) Computer , vol.42 , pp. 30-37
    • Koren, Y.1    Bell, R.2    Volinsky, C.3
  • 23
    • 51349151355 scopus 로고    scopus 로고
    • Analysis of incomplete multivariate data
    • J. L. Schafer, Analysis of incomplete multivariate data. CRC, 1997.
    • (1997) CRC
    • Schafer, J.L.1
  • 26
    • 84907095419 scopus 로고    scopus 로고
    • R: A language and environment for statistical computing
    • RC Team
    • RC Team, "R: A language and environment for statistical computing," R foundation for Statistical Computing, 2005.
    • (2005) R Foundation for Statistical Computing
  • 28
    • 84863735533 scopus 로고    scopus 로고
    • Distributed Graphlab: A framework for machine learning and data mining in the cloud
    • Y. Low, D. Bickson, J. Gonzalez, C. Guestrin, A. Kyrola, and J. M. Hellerstein, "Distributed Graphlab: a framework for machine learning and data mining in the cloud," PVLDB'12, vol. 5, no. 8, pp. 716-727.
    • PVLDB'12 , vol.5 , Issue.8 , pp. 716-727
    • Low, Y.1    Bickson, D.2    Gonzalez, J.3    Guestrin, C.4    Kyrola, A.5    Hellerstein, J.M.6
  • 29
    • 84864210199 scopus 로고    scopus 로고
    • Extending map-reduce for efficient predicatebased sampling
    • R. Grover, and M. Carey, "Extending map-reduce for efficient predicatebased sampling," ICDE'12, pp. 486-497.
    • ICDE'12 , pp. 486-497
    • Grover, R.1    Carey, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.