Abstract
In classification problems, the objective is to classify observations into a set of K discrete classes C∈{1…K}. To these ends, one often tries to estimate or approximate the posterior probabilities p(k|x) ≡ p(C = k|x). Given these, one could classify new observations x into the class C * for which we have
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Durstewitz, D. (2017). Classification Problems. In: Advanced Data Analysis in Neuroscience. Bernstein Series in Computational Neuroscience. Springer, Cham. https://doi.org/10.1007/978-3-319-59976-2_3
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