Getting started with hidden Markov models using Perl

A Markov model (named after the mathematician Andrey Markov) is used for forecasting in systems of random change. Markov’s insight is that good predictions in this context can be made from only the most recent occurrence of an event, ignoring any occurrences before the current one. The approach might be described as memoryless or history-agnostic prediction.read more

Source: LXer – Getting started with hidden Markov models using Perl

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