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In silicon testing, a Shmoo plot is commonly used to give us an insight into the silicon manufacturing development health. Shmoo plots and other silicon characterization data has high value, however, analysis of them is a time-consuming work. This paper establishes a machine learning based model to improve and automate the procedure in silicon data analysis for HVM test content development. Our experiment...
Random forest is an excellent ensemble learning method, which is composed of multiple decision trees grown on random input samples and splitting nodes on a random subset of features. Due to its good classification and generalization ability, random forest has achieved success in various domains. However, random forest will generate many noisy trees when it learns from the data set that has high dimension...
Coronary heart disease (CHD) remains the single leading cause of death of adults worldwide, but the traditional related factors can not explain the whole situations. Unstable angina (UA) is a type of CHD. The aim of this study was to establish clinical diagnose pattern for UA with blood stasis syndrome. Twenty-two biological parameters were detected on seven hundreds and seventy-six unstable angina...
Unstable angina (UA) is now a severe burden on society and family in both industrialized and developing countries, but the traditional related factors can not explain the whole situations. The effect of treatment is very limited. Determination of treatment based on the symptoms and signs in Traditional Chinese Medicine (TCM) have certain curative effect. But the objective of the syndrome diagnose...
Many applications track streaming data for actionable alerts, which may include, for example, network intrusions, transaction frauds, bio-surveilence abnormalities, and so forth. Some stream classification models are built for this purpose. Due to concept drifts, maintaining a model's up-to-dateness has become one of the most challenging tasks in mining data streams. State-of-the-art approaches, including...
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