20-11-2022, 05:12 | view 👀:51 | 🙍 oneddl | redaktor: book24h | Rating👍:

Latent Factor Analysis for High-dimensional and Sparse Matrices [#486049]

Name: Latent Factor Analysis for High-dimensional and Sparse Matrices
Author: book24h

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 terms. Hence, how to achieve efficient hyper-parameter adaptation for latent factor analysis models has become a significant question.

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Latent Factor Analysis for High-dimensional and Sparse Matrices [#486049]

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