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: ;

[复制链接]
查看: 36246|回复: 39
发表于 2025-3-21 19:12:43 | 显示全部楼层 |阅读模式
书目名称Graph Structures for Knowledge Representation and Reasoning
编辑Madalina Croitoru,Pierre Marquis,Gem Stapleton
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: ;
出版日期Conference proceedings 2018
版次1
doihttps://doi.org/10.1007/978-3-319-78102-0
isbn_softcover978-3-319-78101-3
isbn_ebook978-3-319-78102-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
The information of publication is updating

书目名称Graph Structures for Knowledge Representation and Reasoning影响因子(影响力)




书目名称Graph Structures for Knowledge Representation and Reasoning影响因子(影响力)学科排名




书目名称Graph Structures for Knowledge Representation and Reasoning网络公开度




书目名称Graph Structures for Knowledge Representation and Reasoning网络公开度学科排名




书目名称Graph Structures for Knowledge Representation and Reasoning被引频次




书目名称Graph Structures for Knowledge Representation and Reasoning被引频次学科排名




书目名称Graph Structures for Knowledge Representation and Reasoning年度引用




书目名称Graph Structures for Knowledge Representation and Reasoning年度引用学科排名




书目名称Graph Structures for Knowledge Representation and Reasoning读者反馈




书目名称Graph Structures for Knowledge Representation and Reasoning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

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

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 21:44:50 | 显示全部楼层
Military Executions during World War Ianswering of conjunctive queries. Given multiple queries, e.g., in machine learning applications, our approach enables us to compute answers faster than the current LJT and existing approaches tailored for single queries.
发表于 2025-3-22 03:12:35 | 显示全部楼层
Military Industry in Taiwan and South Koreall of . can be expressed. However, the translation itself is not designed to give optimally readable diagrams, which is particularly challenging to achieve in the general case. As such, we also improve the translations for a selected category of . axioms, to illustrate that more effective diagrams can be produced.
发表于 2025-3-22 04:38:14 | 显示全部楼层
发表于 2025-3-22 11:56:42 | 显示全部楼层
发表于 2025-3-22 15:15:30 | 显示全部楼层
发表于 2025-3-22 18:49:13 | 显示全部楼层
https://doi.org/10.1057/9780230244672 the applicability of many machine learning approaches. Therefore, we present the benefits of Subjective Bayesian Networks—i.e., Bayesian Networks with imprecise probabilities—for situational understanding, and the role of conversational interfaces for supporting decision makers in the evolution of situational understanding.
发表于 2025-3-22 21:48:17 | 显示全部楼层
Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding the applicability of many machine learning approaches. Therefore, we present the benefits of Subjective Bayesian Networks—i.e., Bayesian Networks with imprecise probabilities—for situational understanding, and the role of conversational interfaces for supporting decision makers in the evolution of situational understanding.
发表于 2025-3-23 05:10:18 | 显示全部楼层
发表于 2025-3-23 06:54:27 | 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, 2025-5-25 15:23
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