Grasping
发表于 2025-3-25 05:01:00
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乐器演奏者
发表于 2025-3-25 11:27:23
Answering with Cases: A CBR Approach to Deep Learningme. We describe how appropriate cases can be generated to assist engineers and how our solution can scale over time to produce domain-specific reusable cases for similar problems. Our work is evaluated using data from 5000 cases from the automotive industry.
否决
发表于 2025-3-25 12:02:39
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Hiatus
发表于 2025-3-25 17:15:22
0302-9743 themes related to the theory and application of case-based reasoning and its future direction. Topics included multiple papers on textual CBR and a number of cognitive and human oriented papers as well as hybrid research between CBR and machine learning..978-3-030-01080-5978-3-030-01081-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
委屈
发表于 2025-3-25 22:04:28
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课程
发表于 2025-3-26 00:55:26
A Textual Recommender System for Clinical Dataons with physicians’ similarity judgments of letter pairs in a psychological experiment. The results show that the recommender system captures expert intuitions about letter similarity well and is usable for practical applications.
Cholesterol
发表于 2025-3-26 04:59:00
Conference proceedings 2018d in Stockholm, Sweden, in July 2018...The 39 full papers presented in this book were carefully reviewed and selected from 77 submissions. The theme of ICCBR-2017, "The Future of CBR", was highlighted by several activities..These papers, which are included in the proceedings, address many themes rel
低位的人或事
发表于 2025-3-26 10:00:43
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隐藏
发表于 2025-3-26 15:16:50
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EVADE
发表于 2025-3-26 17:38:02
H. Baumgärtl,W. Zimelka,D. W. Lübbersrieval and generation of security concept templates based on reliable examples. We use ontologies for the conceptualization of textual security concepts, and we employ case-based reasoning for the retrieval and generation of new security concepts.