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Volumn 7719 LNCS, Issue , 2013, Pages 57-68

CloudSVM: Training an SVM classifier in cloud computing systems

Author keywords

Cloud Computing; Distributed Computing; MapReduce; Support Vector Machines

Indexed keywords

CLOUD COMPUTING ENVIRONMENTS; DISTRIBUTED CLOUDS; DISTRIBUTED MACHINE LEARNING; LARGE SCALE DATA SETS; MACHINE LEARNING APPLICATIONS; MAP-REDUCE; OPTIMAL CLASSIFIERS; SUPPORT VECTOR MACHINES ALGORITHMS;

EID: 84875103169     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37015-1_6     Document Type: Conference Paper
Times cited : (37)

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    • Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
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    • Hall, M.A.: Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. In: Proceedings of the Seventeenth International Conference on Machine Learning, pp. 359-366. Morgan Kaufmann Publishers Inc., San Francisco (2000)
    • (2000) Proceedings of the Seventeenth International Conference on Machine Learning , pp. 359-366
    • Hall, M.A.1
  • 8
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    • Distributed parallel support vector machines in strongly connected networks
    • Lu, Y., Roychowdhury, V., Vandenberghe, L.: Distributed parallel support vector machines in strongly connected networks. IEEE Trans. Neural Networks 19, 1167-1178 (2008)
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  • 9
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    • Incremental Learning with Support Vector Machines
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    • Stefan, R.1
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    • A parallel mixture of SVMs for very large scale problems
    • Collobert, R., Bengio, S., Bengio, Y.: A parallel mixture of SVMs for very large scale problems. Neural Computation 14, 1105-1114 (2002)
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    • CloudBurst: Highly sensitive read mapping with MapReduce
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.