Logistic regression with an auxiliary data source

Computer Science

• Logistic Regression 100%
• Algorithms 50%
• Classification (Machine Learning) 50%
• Generalization 50%
• Auxiliary Variable 50%
• Learning Approach 50%
• Data Source 50%
• Supervised Learning 50%
• Real Data Sets 50%
• Active Learning 50%
• Labeled Example 50%
• Source Distribution 50%
• Contexts 50%
• Testing 50%