generative vs. discriminative models (under construction)
This concept is still under construction.
This concept has the prerequisites:
- The following are important examples of generative models:
- naive Bayes
- Gaussian discriminant analysis
- Bayesian networks (Bayes nets)
- Markov random fields (MRFs)
- One advantage of generative modeling is that it makes it easier to share structure between related problems .
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