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Latent Factor Analysis for High-dimensional and Sparse Matrices - A particle swarm optimization-based approach (Paperback, 1st ed. 2022) Loot Price: R1,342
Discovery Miles 13 420
Latent Factor Analysis for High-dimensional and Sparse Matrices - A particle swarm optimization-based approach (Paperback, 1st...

Latent Factor Analysis for High-dimensional and Sparse Matrices - A particle swarm optimization-based approach (Paperback, 1st ed. 2022)

Ye Yuan, Xin Luo

Series: SpringerBriefs in Computer Science

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Loot Price R1,342 Discovery Miles 13 420 | Repayment Terms: R126 pm x 12*

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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.This is the first book to focus on how particle swarm optimization can be incorporated into latent factor analysis for efficient hyper-parameter adaptation, an approach that offers high scalability in real-world industrial applications. The book will help students, researchers and engineers fully understand the basic methodologies of hyper-parameter adaptation via particle swarm optimization in latent factor analysis models. Further, it will enable them to conduct extensive research and experiments on the real-world applications of the content discussed.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: SpringerBriefs in Computer Science
Release date: November 2022
First published: 2022
Authors: Ye Yuan • Xin Luo
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 92
Edition: 1st ed. 2022
ISBN-13: 978-981-19-6702-3
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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LSN: 981-19-6702-4
Barcode: 9789811967023

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