Examples
Examples of discriminative models used in machine learning include:
- Logistic regression, a type of generalized linear regression used for predicting binary or categorical outputs (also known as maximum entropy classifiers)
- Linear discriminant analysis
- Support vector machines
- Boosting (meta-algorithm)
- Conditional random fields
- Linear regression
- Neural networks
Read more about this topic: Discriminative Model
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