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: Case-Based Reasoning Research and Development; 27th International C Kerstin Bach,Cindy Marling Conference proceedings 2019 Springer Nature

[复制链接]
楼主: aspirant
发表于 2025-3-28 14:59:07 | 显示全部楼层
0302-9743 ral activities. These papers, which are included in the proceedings, address many themes related to the theory and application of case-based reasoning and its future direction..978-3-030-29248-5978-3-030-29249-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-28 20:40:03 | 显示全部楼层
OSHA and the Politics of Health Regulationen users and items. As these interaction graphs can be analyzed through social network analysis, we propose the use of link prediction techniques to find the most suitable explanatory cases for a recommended item.
发表于 2025-3-28 22:56:15 | 显示全部楼层
David F. Wilson,William L. Rumseyosition based on knowledge obtained from earlier screening phases. This Candidate Ranking System (CRS) is based on Case-based Reasoning, combined with semantic data models. The systems performance is evaluated in conjunction with a large international Job company and a software company in an actual recruitment process.
发表于 2025-3-29 06:20:57 | 显示全部楼层
发表于 2025-3-29 10:34:49 | 显示全部楼层
发表于 2025-3-29 13:23:30 | 显示全部楼层
Linda F. Lucas,Benjamin M. Rigormilarity measure for argumentation schemes is investigated. With a range of experiments we demonstrate the strengths and weaknesses of the various methods and show that our methods can improve over our previous work. Our code is publicly available on GitHub.
发表于 2025-3-29 16:08:13 | 显示全部楼层
An Algorithm Independent Case-Based Explanation Approach for Recommender Systems Using Interaction en users and items. As these interaction graphs can be analyzed through social network analysis, we propose the use of link prediction techniques to find the most suitable explanatory cases for a recommended item.
发表于 2025-3-29 22:02:16 | 显示全部楼层
发表于 2025-3-30 00:25:36 | 显示全部楼层
发表于 2025-3-30 04:02:58 | 显示全部楼层
Learning Workflow Embeddings to Improve the Performance of Similarity-Based Retrieval for Process-Oworkflows, which can be used to significantly speed-up the MAC retrieval phase. In an experimental evaluation in the domain of cooking workflows, we show that the presented approach outperforms two existing MAC/FAC approaches on the same data.
 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, 2025-6-25 00:01
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