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Statistical analysis of SRAM has emerged as a challenging issue because the SRAM cell failure probability is extremely small. In this paper, we develop a novel efficient sampling, searching and estimating method to capture the probability of SRAM failure. Particularly, we propose an innovative Adaptive Multi-Level Sliding-Window (AMLSW) method to find the failure boundary in the parameter space with...
Classification and gene selection of microarray data have been important aspects of the investigation of gene expression data in biomedical researches. The analysis of gene expression data presents a new challenge for statistical methods because of its high dimensionality. Random forest has been used to deal with the problem. We present a new classifier named Recursive Random Forest which selects...
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