MICCLLR: Multiple-instance learning using class conditional log likelihood ratio

Keyphrases

• Log-likelihood Ratio 100%
• Multiple Instances 100%
• Multiple Instance Learning 100%
• Different Bases 25%
• Learning Methods 25%
• Adaptation 12%
• Classification Accuracy 12%
• Performance Prediction 12%
• Supervised Learning 12%
• Learning Problems 12%
• Unlabeled Instances 12%
• AdaBoost 12%
• Single Base 12%
• Sufficient Statistics 12%
• Naïve Bayes Classifier 12%
• Learning Settings 12%
• Supervised Learning Algorithms 12%

Computer Science

• Multiple Instance 100%
• Likelihood Ratio 100%
• Instance Learning 100%
• Supervised Learning 18%
• Learning Algorithm 9%
• Learning Problem 9%
• Classification Accuracy 9%
• Bayes Classifier 9%
• Predictive Performance 9%
• Metadata 9%