Statistical Signal Processing for Novelty Detection
نویسندگان
چکیده
The goal of this article is to investigate and suggest techniques for health condition monitoring and diagnosis using machine learning from sensor data. In particular, this article overview and discusses support vector machines methods such as hard margin and soft margin problems. In order to investigate the abnormalities and classify a large set of data an iterative Support Vector Machine algorithm was constructed. However, similar techniques could be applied to analyze or monitor for abnormality various other complex devices or even computer methods.
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