An Optimized Logistic Regression Model Based on the Maximum Entropy Estimation Under the Hesitant Fuzzy Environment.
Chenyang SongLiguo WangZeshui XuPublished in: Int. J. Inf. Technol. Decis. Mak. (2022)
Keyphrases
- logistic regression
- maximum entropy
- maximum entropy principle
- decision trees
- fuzzy linguistic
- naive bayes
- logistic regression models
- fuzzy sets
- loss function
- random forests
- kernel logistic regression
- support vector
- linear support vector machines
- conditional random fields
- fuzzy rules
- higher order
- image segmentation
- fuzzy numbers
- classification accuracy
- bregman divergences
- natural language processing
- minimum cross entropy