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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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State of the art in general learning from data in '69
I'm trying to understand the context of the famous Minsky and Papert book "Perceptrons" from 1969, so critical to neural networks.
As far as I know, there were no other generic supervised learning a …
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How can machine learning models (GBM, NN etc.) be used for survival analysis?
For the case of neural networks, this is a promising approach: WTTE-RNN - Less hacky churn prediction.
The essence of this method is to use a Recurrent Neural Network to predict parameters of a Weibu …