Novel applications of Machine Learning to Network Traffic Analysis

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Figure 2. Details on the loss function elements for the ID-CVAE model. 3.3. Model Details The details of the ID-CVAE model are presented in Figure 3. We employ a multivariate Gaussian as the distribution for ๐’’(๐’/๐‘ฟ), with a mean ๐(๐‘ฟ)โกand a diagonal covariance matrix: ๐œฎ(๐‘ฟ) โ†’ โก ๐ˆ๐Ÿ(๐‘ฟ), with different values along the diagonal. We have a standard normal ๐‘ต(๐ŸŽ, ๐‘ฐ) as ๐’Š the prior distribution for ๐’. Doctoral Thesis: Novel applications of Machine Learning to NTAP - 134

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