SOBER
发表于 2025-3-27 00:17:42
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sulcus
发表于 2025-3-27 04:49:01
The SECCO Ontology for the Retrieval and Generation of Security Conceptsrieval 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.
Talkative
发表于 2025-3-27 06:05:24
https://doi.org/10.1007/978-1-4684-6345-3me. 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.
金哥占卜者
发表于 2025-3-27 09:50:36
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头盔
发表于 2025-3-27 17:15:36
Answering with Cases: A CBR Approach to Deep Learningst every customer support expert will turn his/her attention to a prioritization strategy, to achieve the best possible result. To assist with this, in this paper we describe a novel case-based reasoning application to address the tasks of: high solution accuracy and shorter prediction resolution ti
GRILL
发表于 2025-3-27 18:05:22
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轿车
发表于 2025-3-27 23:18:08
The Case for Case Based Learningle we review the concept of case based learning and define it as the use of case based reasoning for machine learning. We present some of its characteristics and situate it in the context of the major machine learning tasks and machine learning approaches. In doing so, we review the particular manne
Ordeal
发表于 2025-3-28 03:46:37
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规范要多
发表于 2025-3-28 07:59:38
Explainable Distributed Case-Based Support Systems: Patterns for Enhancement and Validation of Desigehensive cases and domain models. We show how explanation patterns and contextually enriched explanations of retrieval results can provide human-understandable insights on the system behavior, justify the shown results, and recommend the best cases to be considered for further use. We applied and im
plasma
发表于 2025-3-28 12:51:24
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