Novelty Detection in Biological Data using Gaussian Processes
نویسندگان
چکیده
منابع مشابه
Novelty Detection Using Sparse Online Gaussian Processes for Visual Object Recognition
Gaussian processes (GPs) have been shown to be highly effective for novelty detection through the use of different membership scores. However, applications of GPs to novelty detection have been limited only to batch GP, which require all training data at once and have quadratic space complexity and cubic time complexity. This paper proposes the use of sparse online GP (SOGP) for novelty detecti...
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