Hidden Markov Models in C# [Technical Blog]
Posted: 30 Mar 2010
Updated: 5 Dec 2010
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Hidden Markov Models (HMM) are stochastic methods to model temporal and sequence data. They are especially known for their application in temporal pattern recognition such as speech, handwriting, gesture recognition, part-of-speech tagging, musical score following and bioinformatics.