Hidden Markov Model Training System

A Hidden Markov Model Training System is a model-based training algorithm that applies an HMM training algorithm to solve an HMM training task (to produce an HMM model).

• AKA: HMM Modeler.
• Context:
  • It can range from being an HMM Library to being an HMM Toolkit to being an HMM Package.
  • …
• Example(s):
  • http://github.com/hmmlearn/hmmlearn
  • http://doc.gold.ac.uk/~mas02mg/software/hmmweka/
  • http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html
• Counter-Example(s):
  • a Conditional Random Fields Training System.
• See: Viterbi Decoder.

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