Joint Active Learning with Feature Selection via CUR Matrix Decomposition

Computer Science

• Feature Selection 100%
• Active Learning 100%
• Decomposition Matrix 100%
• Experimental Result 25%
• Optimization Problem 25%
• Dimensional Feature 25%
• Learning Approach 25%
• Iterative Algorithm 25%
• Learning Problem 25%
• Unsupervised Learning 25%
• Nonsmooth Optimization 25%
• Global Convergence 25%
• Representative Sample 25%

Mathematics

• Representative Sample 50%