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from a particular set of labels, we generate training samples associated with that set of labels, replicating the probabilistic structure of the original data that comes from those labels. In this way, we obtain the probability distribution of P(X, Y) instead of P(X) (Section 3.1.3). Table 7. Contributions of the thesis to the research areas Doctoral Thesis: Novel applications of Machine Learning to NTAP - 58PDF Image | Novel applications of Machine Learning to Network Traffic Analysis
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