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Titlebook: Database Systems for Advanced Applications; 25th International C Yunmook Nah,Bin Cui,Steven Euijong Whang Conference proceedings 2020 Sprin

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51#
發(fā)表于 2025-3-30 09:03:22 | 只看該作者
Learning a Cost-Effective Strategy on Incomplete Medical Dataessible, which is unrealistic since most features come at a cost. Under a medical scenario, each feature is associated with a medical test that costs a certain amount of money. And doctors would ask patients to do consecutive tests until they are confident enough to make a final diagnosis, whereas t
52#
發(fā)表于 2025-3-30 12:43:16 | 只看該作者
53#
發(fā)表于 2025-3-30 18:14:50 | 只看該作者
Incorporating Boundary and Category Feature for Nested Named Entity Recognition (NER) models focus on flat entities but ignore nested entities. In this paper, we propose a neural model for nested named entity recognition. Our model employs a multi-label boundary detection module to detect entity boundaries, avoiding boundary detection conflict existing in the boundary-aware mo
54#
發(fā)表于 2025-3-30 23:14:05 | 只看該作者
55#
發(fā)表于 2025-3-31 01:46:12 | 只看該作者
56#
發(fā)表于 2025-3-31 05:23:38 | 只看該作者
57#
發(fā)表于 2025-3-31 09:39:03 | 只看該作者
58#
發(fā)表于 2025-3-31 15:03:03 | 只看該作者
Learning from Heterogeneous Student Behaviors for Multiple Prediction Taskst will fail to graduate can alert the university student affairs office to take predictive measures to help the student improve academic performance. In this paper, we focus on making multiple predictions together, since leaning the model for a specific task may have the data-sparsity problem. With
59#
發(fā)表于 2025-3-31 19:37:25 | 只看該作者
60#
發(fā)表于 2025-4-1 00:21:41 | 只看該作者
978-3-030-59415-2Springer Nature Switzerland AG 2020
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