GS4: Generating synthetic samples for semi-supervised nearest neighbor classification

Keyphrases

• Nearest Neighbor Classification 100%
• Synthetic Samples 100%
• Classification Accuracy 50%
• K-nearest 50%
• Unlabeled Samples 50%
• Classification Confidence 50%
• Training Set 25%
• Unlabeled Data 25%
• Labeled Sample 25%
• Misclassification 25%
• Labeled Data 25%
• Oversampling Technique 25%
• Misclassification Error 25%
• Class number 25%
• Synthetic Minority 25%
• Publicly Available Dataset 25%
• Training Approaches 25%
• Semi-supervised Setting 25%
• Self-training 25%

Computer Science

• Classification Accuracy 100%
• Unlabeled Sample 100%
• near neighbor classification 100%
• Local Information 50%
• Experimental Result 50%
• Unlabeled Data 50%
• Sampling Technique 50%
• Self-Training 50%