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Volumn , Issue , 2012, Pages 1-6

Unexpected challenges in large scale machine learning

Author keywords

Big data; Concept drift; Non stationary analysis; Supervised learning

Indexed keywords

BIG DATUM; CONCEPT DRIFTS; NONSTATIONARY; SUPERVISED CLASSIFICATION; TRIVIAL OPERATIONS;

EID: 84866628225     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2351316.2351317     Document Type: Conference Paper
Times cited : (25)

References (31)
  • 11
    • 77950537175 scopus 로고    scopus 로고
    • Regularization paths for generalized linear models via coordinate descent
    • 2
    • J. H. Friedman, T. Hastie, and R. Tibshirani. Regularization paths for generalized linear models via coordinate descent. Journal of Statistical Software, 33(1):1-22, 2 2010.
    • (2010) Journal of Statistical Software , vol.33 , Issue.1 , pp. 1-22
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 15
    • 33745187544 scopus 로고    scopus 로고
    • Approximation and streaming algorithms for histogram construction problems
    • S. Guha, N. Koudas, and K. Shim. Approximation and streaming algorithms for histogram construction problems. ACM Transactions on Database Systems, 31(1):396-438, 2006.
    • (2006) ACM Transactions on Database Systems , vol.31 , Issue.1 , pp. 396-438
    • Guha, S.1    Koudas, N.2    Shim, K.3
  • 17
    • 70449568295 scopus 로고    scopus 로고
    • Fast parallel expectation maximization for gaussian mixture models on GPUs using CUDA
    • N. S. L. P. Kumar, S. Satoor, and I. Buck. Fast parallel expectation maximization for gaussian mixture models on GPUs using CUDA. In HPCC, pages 103-109, 2009.
    • (2009) HPCC , pp. 103-109
    • Kumar, N.S.L.P.1    Satoor, S.2    Buck, I.3
  • 18
    • 84866605433 scopus 로고    scopus 로고
    • Training logistic regression and svm on 200gb data using b-bit minwise hashing and comparisons with vowpal wabbit (VW)
    • abs/1108.3072
    • P. Li, A. Shrivastava, and A. C. König. Training logistic regression and svm on 200gb data using b-bit minwise hashing and comparisons with vowpal wabbit (VW). CoRR, abs/1108.3072, 2011.
    • (2011) CoRR
    • Li, P.1    Shrivastava, A.2    König, A.C.3
  • 19
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
    • Apr.
    • N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Mach. Learn., 2(4):285-318, Apr. 1988.
    • (1988) Mach. Learn. , vol.2 , Issue.4 , pp. 285-318
    • Littlestone, N.1
  • 21
    • 0033904367 scopus 로고    scopus 로고
    • Nonparametric time series prediction through adaptive model selection
    • Apr.
    • R. Meir. Nonparametric time series prediction through adaptive model selection. Machine Learning, 39(1):5-34, Apr. 2000.
    • (2000) Machine Learning , vol.39 , Issue.1 , pp. 5-34
    • Meir, R.1
  • 30
    • 0030126609 scopus 로고    scopus 로고
    • Learning in the presence of concept drift and hidden contexts
    • Apr.
    • G. Widmer and M. Kubat. Learning in the presence of concept drift and hidden contexts. Machine Learning, 23(1):69-101, Apr. 1996.
    • (1996) Machine Learning , vol.23 , Issue.1 , pp. 69-101
    • Widmer, G.1    Kubat, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.