Springerbriefs in Computer Science Latent Factor Analysis for High-Dimensional and Sparse Matrices: A Particle Swarm Optimization-Based Approach (Paperback)

Springerbriefs in Computer Science Latent Factor Analysis for High-Dimensional and Sparse Matrices: A Particle Swarm Optimization-Based Approach (Paperback)

Latent factor analysis models are an effective type of machine learning model for addressing high-dimensional and sparse matrices which are encountered in many big-data-related industrial applications. The performance of a latent factor analysis...


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