# Maximum Entropy-based (MaxEnt) Classifier

(Redirected from Maximum Entropy Models)

A Maximum Entropy-based (MaxEnt) Classifier is a discriminative classifier that is based on Maximum Entropy optimization.

**Context:**- It can be produces by a Maximum Entropy-based Learning Algorithm.
- It is based on the Maximum Entropy Principle.

**Example(s):****See:**Conditional Random Fields, MEMM/Maximum Entropy Markov Models, Maximum Entropy-based Learning Algorithm.

## References

### 1996

- (Berger et al., 1996) ⇒ Adam L. Berger, Vincent J. Della Pietra, and Stephen A. Della Pietra. (1996). “A Maximum Entropy Approach to Natural Language Processing.” In: Computational Linguistics, 22(1).