Parallel Adaptive Stochastic Gradient Descent Algorithms for Latent Factor Analysis of High-Dimensional and Incomplete Industrial Data

Keyphrases

• Latent Factor Analysis 100%
• Industrial Data 100%
• Adaptive Stochastic Gradient Descent 100%
• Stochastic Gradient Descent Algorithm 100%
• Incomplete Matrix 50%
• High-dimensional Matrices 50%
• Parallelization 33%
• Stochastic Gradient Descent 33%
• Hyperparameters 33%
• Factor Analysis Model 33%
• High Efficiency 16%
• Three-parallel 16%
• Prediction Accuracy 16%
• Knowledge Discovery 16%
• Learning Algorithm 16%
• Large-scale Data 16%
• Particle Swarm Optimization 16%
• Benchmark Model 16%
• Latent Factors 16%
• Missing Data 16%
• Distributed Gradient Descent 16%
• Parallel Stochastic Gradient Descent 16%
• Gradient Sparse 16%
• Industrial Big Data 16%
• Highly Efficient 16%
• Industrial Applications 16%
• Sparse Matrix Factorization 16%
• Hogwild! 16%

Computer Science

• Stochastic Gradient Descent 100%
• Parallelization 33%
• Analysis Model 33%
• Learning Algorithm 16%
• Big Data 16%
• Large Scale Data 16%
• Particle Swarm Optimization 16%
• Knowledge Discovery 16%
• Prediction Accuracy 16%
• Gradient Descent 16%
• Analysis Process 16%
• Sparse Matrix Factorization 16%
• Model Benchmark 16%
• Industrial Applications 16%