Dissonance
发表于 2025-3-25 05:21:00
Case VII: 90° Change in Wind Directionng the case base by deleting entire cases, based solely on their competence contributions. Recent work proposed an alternative which compressed individual cases by selectively deleting their internal contents. Early studies of this approach, termed . (FFD), demonstrated that for suitable domains, su
DUCE
发表于 2025-3-25 11:19:39
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PHIL
发表于 2025-3-25 14:16:49
Oil Resources: Facts and Conjectures, is highly competent in the global sense. In this paper, we address the compositional adaptation process (of which single case adaptation is a special case) during casebase maintenance by proposing a case competence model for which we propose a measure called retention score to estimate the retentio
ORBIT
发表于 2025-3-25 17:27:40
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HACK
发表于 2025-3-25 22:25:51
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抛弃的货物
发表于 2025-3-26 00:14:35
Case Representation and Similarity Assessment in the ,BACK Decision Support System, patient data, and evaluate how to carry out a similarity-based retrieval in order to find the best advice for patients. Specifically, we will show how heterogeneous data received at various frequencies can be captured in cases and used for personalized advice.
接触
发表于 2025-3-26 07:23:13
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Angiogenesis
发表于 2025-3-26 10:18:59
Concept Discovery and Argument Bundles in the Experience Web,with a clear positive and negative polarity to create the bundles of arguments. The argument bundles allow us to define a concept-wise satisfaction degree of a user query over a set of bundles using the notion of fuzzy implication, allowing the reuse experiences of other people to the needs a specific user.
听写
发表于 2025-3-26 14:02:15
Inferring Student Coding Goals Using Abstract Syntax Trees,ng problems. Without requiring programmed expert knowledge, our system demonstrates that accurate retrieval is possible for basic problems. We expect that additional research will uncover more applications for this technology, including more effective intelligent tutoring systems.
发出眩目光芒
发表于 2025-3-26 19:39:09
Similarity Metrics from Social Network Analysis for Content Recommender Systems,ress their own preferences either. Nevertheless, online judges collect a rich information about which problems have been attempted, and solved, by which users. In this paper we consider all this information as a ., and use social network analysis techniques for creating similarity metrics between problems that can be then used for recommendation.