Wei-Xiang Kang

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Many scientific disciplines use maximum likelihood evaluation (MLE) as an analytical tool. As the data to be analyzed grows increasingly, MLE demands more parallelism to improve analysis efficiency. Unfortunately, it is difficult for scientists and engineers to develop their own distributed/parallelized MLE applications. In addition, self-adaptability is an(More)
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