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The standard machine learning approach for doing exactly what you describe is to use a conditional random field. I don't think wikipedia has a great page on it
by joshhart 14y ago
The standard machine learning approach for doing exactly what you describe is to use a conditional random field. I don't think wikipedia has a great page on it , but check out http://en.wikipedia.org/wiki/Conditional_random_field http://en.wikipedia.org/wiki/Conditional_random_field for a jumping place.
CRFs are used in places like voice and images where recognition or decoding of a segment logically depends on the pieces near it.
- RickButler 14y agoFor clarification, it's much more likely a Hidden Markov Model. Most speech recognition algorithms use some form of Baysesain probability model, HMM being the most commonly used e.g. Sphinx CMU.