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: Machine Learning, Optimization, and Data Science; 9th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202

[復(fù)制鏈接]
查看: 39511|回復(fù): 66
樓主
發(fā)表于 2025-3-21 19:28:14 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Machine Learning, Optimization, and Data Science
副標(biāo)題9th International Co
編輯Giuseppe Nicosia,Varun Ojha,Renato Umeton
視頻videohttp://file.papertrans.cn/621/620734/620734.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning, Optimization, and Data Science; 9th International Co Giuseppe Nicosia,Varun Ojha,Renato Umeton Conference proceedings 202
描述.This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning, Optimization, and Data Science, LOD 2023, which took place in Grasmere, UK, in September 2023.?.The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributions focus on the state?of the art and the latest advances in the integration of machine learning, deep?learning, nonlinear optimization and data science to provide and support the?scientific and technological foundations for interpretable, explainable and trustworthy AI.?.
出版日期Conference proceedings 2024
關(guān)鍵詞computer security; evolutionary algorithms; fuzzy control; image processing; database systems; artificial
版次1
doihttps://doi.org/10.1007/978-3-031-53966-4
isbn_softcover978-3-031-53965-7
isbn_ebook978-3-031-53966-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Machine Learning, Optimization, and Data Science影響因子(影響力)




書目名稱Machine Learning, Optimization, and Data Science影響因子(影響力)學(xué)科排名




書目名稱Machine Learning, Optimization, and Data Science網(wǎng)絡(luò)公開度




書目名稱Machine Learning, Optimization, and Data Science網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning, Optimization, and Data Science被引頻次




書目名稱Machine Learning, Optimization, and Data Science被引頻次學(xué)科排名




書目名稱Machine Learning, Optimization, and Data Science年度引用




書目名稱Machine Learning, Optimization, and Data Science年度引用學(xué)科排名




書目名稱Machine Learning, Optimization, and Data Science讀者反饋




書目名稱Machine Learning, Optimization, and Data Science讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:26:59 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:16:43 | 只看該作者
0302-9743 2023, which took place in Grasmere, UK, in September 2023.?.The 72 full papers included in this book were carefully reviewed and selected from 119 submissions. The proceedings also contain 9 papers from and the Third Symposium on Artificial Intelligence and Neuroscience, ACAIN 2023. The contributio
地板
發(fā)表于 2025-3-22 08:33:52 | 只看該作者
Exploring Image Transformations with?Diffusion Models: A Survey of?Applications and?Implementation Cions. The applications are presented in a practical and concise manner, facilitating the understanding of concepts behind diffusion models and how they function. Additionally, it includes a curated collection of GitHub repositories featuring popular examples of these subjects.
5#
發(fā)表于 2025-3-22 12:23:40 | 只看該作者
6#
發(fā)表于 2025-3-22 16:29:31 | 只看該作者
Deep Learning Model of Two-Phase Fluid Transport Through Fractured Media: A Real-World Case Studyest the sensitivity of our method to the type of optimizer and learning rate, time step size and the number of timesteps, DNN architecture, and spatial resolution. The results of computational experiments on a real-world problem prove a good numerical stability of the solution, its computational efficiency and high precision of the PINN model.
7#
發(fā)表于 2025-3-22 18:46:52 | 只看該作者
8#
發(fā)表于 2025-3-23 00:45:36 | 只看該作者
9#
發(fā)表于 2025-3-23 03:31:34 | 只看該作者
Reinforcement Learning for?Multi-Neighborhood Local Search in?Combinatorial Optimizationalready obtained remarkable results using offline tuning techniques. Experimental data show that our approach obtains better results than the analogous algorithm that uses state-of-the-art offline tuning on benchmarking datasets while requiring less tuning effort.
10#
發(fā)表于 2025-3-23 08:27:33 | 只看該作者
Social Media Analysis: The Relationship Between Private Investors and?Stock Pricesing natural language processing (NLP), this paper examines reasons for the correlation between public sentiments and stock price fluctuations in the United States. Further, we demonstrate these correlations and provide promising directions for future research.
 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, 2025-10-20 14:32
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
来安县| 弋阳县| 驻马店市| 彭泽县| 南澳县| 井陉县| 喀什市| 肇东市| 神池县| 清镇市| 鲁山县| 哈尔滨市| 论坛| 日土县| 民权县| 武乡县| 弋阳县| 金沙县| 锡林郭勒盟| 兖州市| 上杭县| 青海省| 衡南县| 卓尼县| 湖口县| 防城港市| 平陆县| 徐州市| 津市市| 东乡族自治县| 扎兰屯市| 满洲里市| 营口市| 平顶山市| 三门峡市| 梁山县| 克什克腾旗| 香河县| 永清县| 格尔木市| 尼木县|