Multinomial Logistic Regression

Multinomial logistic regression

Multinomial logistic regression is a statistical method used for classifying multiclass problems by predicting the probabilities of different outcomes based on independent variables. It is also known as polytomous LR, softmax regression, mlogit, MaxEnt classifier, and conditional maximum entropy model.

1 courses cover this concept

CSE 447 and 517 Natural Language Processing

University of Washington

Winter 2022

This course provides a comprehensive overview of Natural Language Processing (NLP), including core components like text classification, machine translation, and syntax analysis. It offers two project types: implementation problem-solving for CSE 447, and reproducing experiments from recent NLP papers for CSE 517.

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