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That rather idealistic concept is the fundamental rule on this page. The goal is to create goodwill and perhaps assist the dispute resolution processes that occur on other pages – or, if we're lucky, avoid disputes at all. Bayesian network - Wikipedia For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Convolutional neural network - Wikipedia The "fully-connectedness" of these networks makes them prone to overfitting data. Typical ways of regularization include adding some form of magnitude measurement of weights to the loss function.
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