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Discriminative Classifiers
- Advantages
- Prediction accuracy is generally high
- As compared to Bayesian methods – in general
- Robust, works when training examples contain errors
- Fast evaluation of the learned target function
- Bayesian networks are normally slow
- Criticism
- Long training time
- Difficult to understand the learned function (weights)
- Bayesian networks can be used easily for pattern discovery
- Not easy to incorporate domain knowledge
- Easy in the form of priors on the data or distributions
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