Latent Factor Analysis for High-Dimensional and Sparse Matrices: A Particle Swarm Optimization-Based Approach

by Ye Yuan

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 model relies heavily on appropriate hyper-parameters. However, most hyper-parameters are data-dependent, and using grid-search to tune these hyper-parameters is truly laborious and expensive in computational...

• Format: Paperback
• Language: English
• ISBN: 9811967024
• ISBN13: 9789811967023
• Release Date: November 2022
• Publisher: Springer
• Length: 92 Pages
• Weight: 0.34 lbs.
• Dimensions: 0.2" x 6.1" x 9.2"