Semi-supervised logistic discrimination via labeled data and unlabeled data from different sampling distributions

Computer Science

• Unlabeled Data 100%
• Simulation Mode 33%
• Theoretic Approach 33%
• Procedures 33%
• Classification Problem 33%
• Unknown Parameter 33%
• Classification Method 33%
• Modeling Process 33%
• Density Function 33%
• Logistic Regression Model 33%
• Covariate Shift 33%
• Regularization 33%
• Logistic Discrimination 33%
• Sampling Distribution 33%

Mathematics

• Parameters 66%
• Labeled Data 66%
• Algorithm 33%
• Regularization 33%
• Numerical Analysis 33%
• Density Function 33%
• Model Selection Criterion 33%
• Classification Method 33%
• Classification Problem 33%
• Theoretic Approach 33%
• Logistic Regression Model 33%
• Sampling Distribution 33%
• Logistic Model 33%

Earth and Planetary Sciences

• Parameter 66%
• Model 33%
• Information 33%
• Show 33%
• Algorithms 33%
• Expectation 33%
• Selection 33%
• Adaptation 33%