A novel privacy-preserving probability transductive classifiers from group probabilities based on regression model

Keyphrases

• Privacy-preserving 100%
• Regression Model 100%
• Probability-based 100%
• Transductive 100%
• Group Probabilities 100%
• Inverse Calibration 83%
• Testing Data 50%
• Training Data 33%
• Class Label 33%
• Calibration Function 33%
• Classification Task 16%
• Learning Techniques 16%
• Learning Procedure 16%
• Probability Value 16%
• Classification Model 16%
• Classification Problem 16%
• Model Output 16%
• Classification Algorithms 16%
• Support Vector Machine Model 16%
• Training Model 16%
• Synthetic Data 16%
• UCI Dataset 16%
• Calibration Strategy 16%
• Classical Regression 16%
• Classifier Learning 16%
• Label Estimation 16%
• Privacy Preserving Data Mining 16%

Computer Science

• Privacy Preserving 100%
• Training Data 100%
• Training Model 50%
• Classification Models 50%
• Synthetic Datasets 50%
• privacy preserving data mining 50%
• Learning Technique 50%
• Probability Value 50%
• Classification Task 50%
• Experimental Result 50%
• Classification Problem 50%
• Support Vector Machine 50%
• Classification Algorithm 50%