Hidden Markov Models (HMM)

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Hidden Markov Models (HMM) A type of supervised machine learning algorithm Uses Bayesian statistics Makes classifications based on characteristics of training data Many types of applications Speech and gesture recognition Bioinformatics Gene predictions Sequence alignments ChIP-seq analysis Protein folding Google Now, Siri, Cortana

Supervised machine learning Need different set of training data for different languages Norvig, P. How to write a spelling corrector. http://www.norvig.com/spell-correct.html Use aggregated data of previous search results to predict the search term and the correct spelling