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Titlebook: Distributed Machine Learning and Gradient Optimization; Jiawei Jiang,Bin Cui,Ce Zhang Book 2022 The Editor(s) (if applicable) and The Auth

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21#
發(fā)表于 2025-3-25 04:24:30 | 只看該作者
https://doi.org/10.1057/9780230253025We classify these methods by their targeted machine learning models, including but not limited to generalized linear models, deep learning models, and tree models. For each category of machine learning model, we briefly describe their concepts and principles and then introduce the existing gradient
22#
發(fā)表于 2025-3-25 09:18:21 | 只看該作者
23#
發(fā)表于 2025-3-25 12:28:58 | 只看該作者
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發(fā)表于 2025-3-25 19:00:54 | 只看該作者
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發(fā)表于 2025-3-25 20:20:34 | 只看該作者
978-981-16-3422-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
26#
發(fā)表于 2025-3-26 04:07:03 | 只看該作者
Distributed Machine Learning and Gradient Optimization978-981-16-3420-8Series ISSN 2522-0179 Series E-ISSN 2522-0187
27#
發(fā)表于 2025-3-26 08:06:25 | 只看該作者
https://doi.org/10.1057/9780230253025We classify these methods by their targeted machine learning models, including but not limited to generalized linear models, deep learning models, and tree models. For each category of machine learning model, we briefly describe their concepts and principles and then introduce the existing gradient optimization algorithms that can be adopted.
28#
發(fā)表于 2025-3-26 10:26:05 | 只看該作者
29#
發(fā)表于 2025-3-26 14:52:38 | 只看該作者
Jiawei Jiang,Bin Cui,Ce ZhangPresents a comprehensive overview of distributed machine learning.Introduces the progress of gradient optimization for distributed machine learning.Addresses the key challenge of implementing machine
30#
發(fā)表于 2025-3-26 17:35:44 | 只看該作者
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