It is a form of prior knowledge that is available in the training stage but not in the testing phase. Different from traditional machine learning, which has ...

This paper proposes a brand new problem of learning with class-wise privileged information, where instances within the same class share identical privileged ...

To this end, this paper proposes a brand new problem of learning with class-wise privileged information, where instances within the same class share identical ...

Coarse-grained privileged learning for classification ... Authors: Saiji Fu; Xiaoxiao Wang; Yingjie Tian; Tianyi Dong; Jingjing Tang; Jicai Li. Funders. National ...

Coarse-grained privileged learning for classification. S. Fu, X. Wang, Y. Tian, T. Dong, J. Tang, and J. Li. Inf. Process. Manag., 60 (6): 103506 (November ...

Aug 3, 2022 · While role-based access control (RBAC) is often associated with coarse-grained authorization, attribute-based access control (ABAC) is typically a more fine- ...

Nov 13, 2023 · We focus on tree-based learners, specifically gradient-boosted decision trees for learning with privileged information.

Nov 13, 2023 · We focus on tree-based learners, specifically gradient-boosted decision trees for learning with privileged information.

Fu S, Wang X, Tian Y, et al. Coarse-grained privileged learning for classification[J]. Information Processing & Management, 2023, 60(6): 103506.

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