Randomized latent factor model for high-dimensional and sparse matrices from industrial applications

Keyphrases

• Computational Burden 25%
• Efficient Model 25%
• High Computational Efficiency 25%
• High Efficiency 25%
• High-dimensional Matrices 100%
• Highly Effective 25%
• Industrial Application 100%
• Latent Factor Model 100%
• Latent Factors 50%
• Learning Process 25%
• Learning Techniques 25%
• LF Model 100%
• Local Optimum 25%
• Missing Data 25%
• Neural Network 25%
• Prediction Accuracy 25%
• Random Neural Network 25%
• Randomized Learning 25%
• Sparse Matrices 100%
• Training Process 25%

Computer Science

• Computational Efficiency 25%
• Experimental Result 25%
• Industrial Application 100%
• Learning Process 25%
• Learning Technique 25%
• Neural Network 50%
• Prediction Accuracy 25%
• Training Process 25%