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Multi-aspect Learning: Methods and Applications

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Description

Format: Hardback
Length: 184 pages
Publication date: 28 July 2023
Publisher: Springer International Publishing AG

This book offers a detailed and comprehensive analysis of multi-aspect data learning, focusing especially on representation learning approaches for unsupervised machine learning.

Dimension: 235 x 155 (mm)
ISBN-13: 9783031335594
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Shulph Ink

Shulph Ink

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