找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
樓主: Nutraceutical
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
24#
發(fā)表于 2025-3-25 19:00:54 | 只看該作者
25#
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
Big Data Managementhttp://image.papertrans.cn/e/image/281918.jpg
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 11:08
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
钦州市| 滨海县| 邻水| 永济市| 衡山县| 太仆寺旗| 兴隆县| 尚义县| 青浦区| 临邑县| 麻阳| 静宁县| 岳普湖县| 潞城市| 崇左市| 乌审旗| 扎赉特旗| 和静县| 天津市| 安泽县| 涿鹿县| 云南省| 安阳市| 翼城县| 炉霍县| 烟台市| 西青区| 龙岩市| 大同县| 青州市| 台南市| 饶河县| 普格县| 民和| 南城县| 名山县| 信宜市| 宁河县| 绥滨县| 新巴尔虎右旗| 乌兰浩特市|