找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Hybrid Artificial Intelligent Systems; 12th International C Francisco Javier Martínez de Pisón,Rubén Urraca,Em Conference proceedings 2017

[复制链接]
查看: 13827|回复: 59
发表于 2025-3-21 16:27:41 | 显示全部楼层 |阅读模式
书目名称Hybrid Artificial Intelligent Systems
副标题12th International C
编辑Francisco Javier Martínez de Pisón,Rubén Urraca,Em
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Hybrid Artificial Intelligent Systems; 12th International C Francisco Javier Martínez de Pisón,Rubén Urraca,Em Conference proceedings 2017
描述This volume constitutes the refereed proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, held in La Rioja, Spain, in June 2017..The 60 full papers published in this volume were carefully reviewed and selected from 130 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bioinspired models and evolutionary computing; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications..
出版日期Conference proceedings 2017
关键词case based reasoning; chance discovery; cognitive distributed AI systems; data mining; decision support
版次1
doihttps://doi.org/10.1007/978-3-319-59650-1
isbn_softcover978-3-319-59649-5
isbn_ebook978-3-319-59650-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

书目名称Hybrid Artificial Intelligent Systems影响因子(影响力)




书目名称Hybrid Artificial Intelligent Systems影响因子(影响力)学科排名




书目名称Hybrid Artificial Intelligent Systems网络公开度




书目名称Hybrid Artificial Intelligent Systems网络公开度学科排名




书目名称Hybrid Artificial Intelligent Systems被引频次




书目名称Hybrid Artificial Intelligent Systems被引频次学科排名




书目名称Hybrid Artificial Intelligent Systems年度引用




书目名称Hybrid Artificial Intelligent Systems年度引用学科排名




书目名称Hybrid Artificial Intelligent Systems读者反馈




书目名称Hybrid Artificial Intelligent Systems读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 21:24:07 | 显示全部楼层
发表于 2025-3-22 00:25:22 | 显示全部楼层
发表于 2025-3-22 04:57:44 | 显示全部楼层
0302-9743 gorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications..978-3-319-59649-5978-3-319-59650-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 11:37:28 | 显示全部楼层
Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models byExperiments with Extreme Gradient Boosting Machines (XGBoost) and six UCI databases demonstrate that the hybrid methodology obtains analogous models than the GA-PARSIMONY but with a significant reduction on the execution time in five of the six datasets.
发表于 2025-3-22 15:12:36 | 显示全部楼层
发表于 2025-3-22 17:34:52 | 显示全部楼层
Optimization of Joint Sales Potential Using Genetic Algorithm of a group of . nodes in an .-node undirected complex network. The algorithm is tested with artificial and real networks and gives satisfactory results. This shows the algorithm’s effectiveness in joint sales potential optimization.
发表于 2025-3-22 23:33:33 | 显示全部楼层
Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?e polarity of the document evaluated by the user and the aggregated sentence polarity evaluated by three SAMs. The main contribution of this work is to show the flimsiness of user ratings as a generalization of the overall review sentiment.
发表于 2025-3-23 02:22:58 | 显示全部楼层
A Review of Distributed Data Models for Learnings that have been used to treat each case, although it is not a review of learning or computation algorithms. Finally, this report looks into the issues that new data partitioning-based models such as MapReduce have brought to distributed learning.
发表于 2025-3-23 07:54:12 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-11 12:31
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表