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An estimation procedure that is often claimed to be part of Bayesian statistics is the maximum a posteriori (MAP) estimate of an unknown quantity, that equals the mode of the posterior density with respect to some reference measure, typically the Lebesgue measure.
TrueSkill is a skill-based ranking system developed by Microsoft for use with video game matchmaking on the Xbox network.Unlike the popular Elo rating system, which was initially designed for chess, TrueSkill is designed to support games with more than two players.
A probabilistic neural network (PNN) [1] is a feedforward neural network, which is widely used in classification and pattern recognition problems. In the PNN algorithm, the parent probability distribution function (PDF) of each class is approximated by a Parzen window and a non-parametric function.
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
To briefly interrupt your fighting: Murphy (Machine Learning: A Probabilistic Perspective, 2012) does not require variance -> 0. He shows an equivalence of k-means to "hard EM" with arbitrary but fixed variance. See 11.4.2.5. --Chire 12:00, 3 December 2019 (UTC) @Chire: True, and thanks for the constructive contribution.
In machine learning, a probabilistic classifier is a classifier that is able to predict, given an observation of an input, a probability distribution over a set of classes, rather than only outputting the most likely class that the observation should belong to.