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C++ Implementation of Markov Chains by pi194043 is a document available to read on EtoBox.

This document provides an introduction to Markov chains, which are stochastic processes that generate random sequences of outcomes or states according to certain probabilities. It describes how Markov chains can be represented using transition probability matrices and used for sequence classification and generation. Code examples are given for computing the probability of a sequence, generating an initial state, and generating a full sequence from a Markov chain model.

Author
pi194043
Language
EN