Latent Factor Analysis for High-dimensional and Sparse Matrices A particle swarm optimization-based approach /
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....
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| Main Authors: | , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
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| Edition: | 1st ed. 2022. |
| Series: | SpringerBriefs in computer science.
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| Subjects: | |
| Online Access: | Full text (Wentworth users only) |