A graph-based approach for positive and unlabeled learning

Computer Science

• Labeled Document 100%
• Vector Space Models 100%
• Text Collection 50%
• k-Nearest Neighbors Algorithm 50%
• Similarity Graph 50%
• Text Information 50%

Keyphrases

• Positive Learning 100%
• Unlabeled Learning 100%
• Label Propagation 28%
• Vector Space Model 28%
• Similarity Graph 14%
• K-nearest Neighbor (K-NN) 14%
• Text Collection 14%
• Text Information 14%