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Volumn , Issue , 2014, Pages 246-251

Machine learning-based techniques for incremental functional diagnosis: A comparative analysis

Author keywords

Board level diagnosis; Faulty components; Incremental Adaptive Functional Diagnosis; Machine Learning

Indexed keywords

DESIGN FOR TESTABILITY; ENGINES; FAULT TOLERANCE; ITERATIVE METHODS; LEARNING SYSTEMS; MACHINE LEARNING;

EID: 84914695654     PISSN: 15505774     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DFT.2014.6962064     Document Type: Conference Paper
Times cited : (7)

References (13)
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    • F. Ye, Z. Zhang, K. Chakrabarty, and X. Gu, "Adaptive board-level functional fault diagnosis using decision trees. Proc. Asian Test Symp., 2012, pp. 202-207
    • (2012) Proc. Asian Test Symp , pp. 202-207
    • Ye, F.1    Zhang, Z.2    Chakrabarty, K.3    Gu, X.4
  • 3
    • 84872526297 scopus 로고    scopus 로고
    • Board-level functional fault diagnosis using learning based on incremental support-vector machines
    • F. Ye, "Board-level functional fault diagnosis using learning based on incremental support-vector machines. Proc. Asian Test Symp., 2012, pp. 208-213
    • (2012) Proc. Asian Test Symp , pp. 208-213
    • Ye, F.1
  • 4
    • 84876757483 scopus 로고    scopus 로고
    • Board-level functional fault diagnosis using artificial neural networks, support-vector machines, and weighted-majority voting
    • F. Ye, "Board-level functional fault diagnosis using artificial neural networks, support-vector machines, and weighted-majority voting, " IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems. 32(5), pp. 723-736, 2013
    • (2013) IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol.32 , Issue.5 , pp. 723-736
    • Ye, F.1
  • 7
    • 34047139841 scopus 로고    scopus 로고
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    • Agilent Technologies
  • 11
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • R. Agrawal and R. Srikant, "Fast algorithms for mining association rules in large databases. Proc. Int. Conf. Very Large Data Bases, 1994, pp. 487-499
    • (1994) Proc. Int. Conf. Very Large Data Bases , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 12
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: A review of classification techniques
    • S. B. Kotsiantis, "Supervised machine learning: a review of classification techniques, " Informatica. 31(3), 2007
    • (2007) Informatica , vol.31 , pp. 3
    • Kotsiantis, S.B.1
  • 13
    • 37749007211 scopus 로고    scopus 로고
    • OpenCV Last checked: Mar. 2014. [Online]. Available
    • OpenCV, Open Source Computer Vision Library. Last checked: Mar. 2014. [Online]. Available: http://www.opencv.org/
    • Open Source Computer Vision Library


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.