The Maximum-Entropy Markov Model (MEMM) is a type of statistical model used for sequence prediction tasks, particularly in the fields of natural language processing (NLP) and bioinformatics. It combines concepts from maximum entropy modeling and Markov models to make predictions about sequential data.

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  1. Statistical natural language processing
  2. Applied statistics
  3. Applied mathematics
  4. Fields of mathematics
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