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.
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Open Source » Getting started with hidden Markov models using Perl
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Standing just over 2 meters and hailing from о́стров Ратма́нова, Dasuberworm is a professional cryptologist, entrepreneur and cage fighter. When he's not breaking cyphers and punching people in the face, Das enjoys receiving ominous DHL packages at one of his many drop sites in SE Asia.