DISCRIMINATIVE SEMI-SUPERVISED FEATURE SELECTION VIA A CLASS-CREDIBLE PSEUDO-LABEL LEARNING FRAMEWORK

Computer Science

• Feature Extraction 100%
• Feature Selection 100%
• Learning Framework 100%
• Superior Performance 50%
• Discriminative Feature 50%
• Classification Models 50%
• Semisupervised Learning 50%
• Regularization 50%
• Training Model 50%
• Indeterminate 50%