A study of learning a sparse metric matrix using l₁ regularization based on supervised learning

Mathematics

• Supervised Learning 100%
• Learning 63%
• Regularization 60%
• Distance Metric 56%
• Metric 46%
• Training 29%
• Vector Space Model 25%
• Repository 19%
• Overfitting 18%
• Method of multipliers 18%
• Alternating Direction Method 18%
• Classification Problems 15%
• Machine Learning 15%
• Proportion 12%
• History 12%
• High-dimensional 11%
• Optimization 10%
• Experiment 10%
• Tend 10%
• Estimate 6%

Business & Economics

• Regularization 91%
• Matrix 62%
• Vector Space Model 23%
• Overfitting 19%
• Machine Learning 18%
• Repository 15%
• Multiplier 13%
• Proportion 10%
• Purchase 9%
• Experiment 8%

Engineering & Materials Science

• Supervised learning 74%
• Vector spaces 24%
• Machine learning 17%
• Experiments 8%