Approximate maximum entropy joint feature inference consistent with arbitrary lower-order probability constraints: Application to statistical classification

Keyphrases

• Lower Order 100%
• Maximum Entropy 100%
• Joint Feature 100%
• Statistical Classification 100%
• Feature Inference 100%
• Probabilistic Constraints 100%
• Bayesian Network 66%
• Multilayer Perceptron 33%
• Feature Space 33%
• Feature Vector 33%
• Discrete Space 33%
• Maximum Entropy Method 33%
• Inference Methods 33%
• Missing Features 33%
• Class Label 33%
• General Constraints 33%
• Exact Inference 33%
• Learning Complexity 33%
• Inference Problem 33%
• Statistical Classifiers 33%

Computer Science

• Maximum Entropy 100%
• Probability Mass Function 100%
• Statistical Classification 100%
• Joint Probability 100%
• Bayesian Networks 66%
• Neural Network 33%
• Feature Vector 33%
• Alternative Model 33%
• Feature Space 33%
• Learning Complexity 33%
• Inference Method 33%

Mathematics

• Approximates 100%
• Probability Theory 100%
• Maximum Entropy 100%
• Bayesian Network 66%
• Conditionals 33%
• Neural Network 33%
• Inference Method 33%
• Feature Space 33%
• Discrete Space 33%
• Class Label 33%
• Independency 33%
• Naïve Bayes 33%
• Feature Vector 33%