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Volumn , Issue , 2013, Pages

Parameter design tradeoff between prediction performance and training time for Ridge-SVM

Author keywords

parameter tuning; Ridge SVM; training time; unified model for supervised learning; weight error curve (WEC)

Indexed keywords

PARAMETER-TUNING; RIDGE-SVM; TRAINING TIME; UNIFIED MODELING; WEIGHT-ERROR-CURVE (WEC);

EID: 84893257716     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2013.6661962     Document Type: Conference Paper
Times cited : (1)

References (6)
  • 1
    • 76249132145 scopus 로고    scopus 로고
    • Kernel approaches to unsupervised and supervised machine learning
    • Springer
    • S.Y. Kung, "Kernel approaches to unsupervised and supervised machine learning, " in Advances in Multimedia Information Processing-PCM 2009, pp. 1-32. Springer, 2009.
    • (2009) Advances in Multimedia Information Processing-PCM 2009 , pp. 1-32
    • Kung, S.Y.1
  • 2
    • 84890443960 scopus 로고    scopus 로고
    • Pda-svm hybrid: A unified model for kernel-based supervised classification
    • S.Y. Kung and Man-Wai Mak, "Pda-svm hybrid: A unified model for kernel-based supervised classification, " Journal of Signal Processing Systems, vol. 65, no. 1, pp. 5-21, 2011.
    • (2011) Journal of Signal Processing Systems , vol.65 , Issue.1 , pp. 5-21
    • Kung, S.Y.1    Mak, M.-W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.