Board-level functional fault diagnosis using multikernel support vector machines and incremental learning

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Volumn 33, Issue 2, 2014, Pages 279-290

  Ye, Fangming ^a   Zhang, Zhaobo ^b   Chakrabarty, Krishnendu ^a   Gu, Xinli ^b  

^a Duke University   (United States)

^b HUAWEI TECHNOLOGIES   (United States)

Author keywords

Board level fault diagnosis; functional failures; incremental learning; kernel; machine learning; support vector machines

Indexed keywords

BOARD-LEVEL; DIAGNOSIS METHODS; ERROR OBSERVATION; FUNCTIONAL FAILURE; INCREMENTAL LEARNING; KERNEL; LINEAR COMBINATIONS; MACHINE LEARNING TECHNIQUES;

LEARNING SYSTEMS; NEURAL NETWORKS; REPAIR;

SUPPORT VECTOR MACHINES;

EID: 84893305408     PISSN: 02780070     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCAD.2013.2287184     Document Type: Article

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