Approximate maximum entropy learning for classification: Comparison with other methods

Keyphrases

• Maximum Entropy Learning 100%
• Dependence Tree 50%
• Tree Augmented Naïve Bayes 50%
• Naive Bayes Model 50%
• Network Dependencies 50%
• Discrete Feature Space 50%

Computer Science

• Maximum Entropy 100%
• Support Vector Machine 33%
• Neural Network 33%
• Feature Space 33%
• Bayesian Networks 33%
• Decision Tree 33%

Biochemistry, Genetics and Molecular Biology

• Bayesian Learning 100%
• Support Vector Machine 33%
• Decision Trees 33%