Advancing Non-Negative Latent Factorization of Tensors With Diversified Regularization Schemes

Keyphrases

• Regularization Scheme 100%
• Non-negative Latent Factorization of Tensor 100%
• Tensor Model 100%
• Sparse Tensors 100%
• High-dimensional Tensor 100%
• Temporal Patterns 66%
• Prediction Accuracy 66%
• Latent Factorization of Tensors 66%
• Real Application 33%
• Web Services 33%
• Service-oriented Computing 33%
• State-of-the-art Models 33%
• L1-L2 33%
• Overfitting 33%
• Missing Data 33%
• Dynamic Data 33%
• User Side 33%
• Dropout 33%
• Dynamic Relationship 33%
• Big Data Computing 33%
• Model Diversity 33%
• Elastic Net 33%
• Swish 33%
• QoS Data 33%
• Regularization Design 33%
• Big Service 33%
• Strong Model 33%

Computer Science

• Regularization 100%
• Quality of Service 75%
• Prediction Accuracy 50%
• Related Application 25%
• Big Data 25%
• Real Application 25%
• Web Service 25%