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

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樓主: aspirant
41#
發(fā)表于 2025-3-28 14:59:07 | 只看該作者
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
42#
發(fā)表于 2025-3-28 20:40:03 | 只看該作者
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.
43#
發(fā)表于 2025-3-28 22:56:15 | 只看該作者
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.
44#
發(fā)表于 2025-3-29 06:20:57 | 只看該作者
45#
發(fā)表于 2025-3-29 10:34:49 | 只看該作者
46#
發(fā)表于 2025-3-29 13:23:30 | 只看該作者
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.
47#
發(fā)表于 2025-3-29 16:08:13 | 只看該作者
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.
48#
發(fā)表于 2025-3-29 22:02:16 | 只看該作者
49#
發(fā)表于 2025-3-30 00:25:36 | 只看該作者
50#
發(fā)表于 2025-3-30 04:02:58 | 只看該作者
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.
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