受强制性开放获取政策约束的文章 - Chicheng Zhang了解详情
可在其他位置公开访问的文章：10 篇
Revisiting perceptron: Efficient and label-optimal learning of halfspaces
S Yan, C Zhang
Advances in Neural Information Processing Systems 30, 2017
强制性开放获取政策： US National Science Foundation
Efficient active learning of sparse halfspaces with arbitrary bounded noise
C Zhang, J Shen, P Awasthi
Advances in Neural Information Processing Systems 33, 7184-7197, 2020
强制性开放获取政策： US National Science Foundation
Multitask bandit learning through heterogeneous feedback aggregation
Z Wang, C Zhang, MK Singh, L Riek, K Chaudhuri
International Conference on Artificial Intelligence and Statistics, 1531-1539, 2021
强制性开放获取政策： US National Science Foundation
The extended littlestone’s dimension for learning with mistakes and abstentions
C Zhang, K Chaudhuri
Conference on learning theory, 1584-1616, 2016
强制性开放获取政策： US National Science Foundation
Active online learning with hidden shifting domains
Y Chen, H Luo, T Ma, C Zhang
International Conference on Artificial Intelligence and Statistics, 2053-2061, 2021
强制性开放获取政策： US National Science Foundation
Provably efficient multi-task reinforcement learning with model transfer
C Zhang, Z Wang
Advances in Neural Information Processing Systems 34, 19771-19783, 2021
强制性开放获取政策： US National Science Foundation
Attribute-efficient learning of halfspaces with malicious noise: Near-optimal label complexity and noise tolerance
J Shen, C Zhang
Algorithmic Learning Theory, 1072-1113, 2021
强制性开放获取政策： US National Science Foundation
Interpretable and Reliable Oral Cancer Classifier with Attention Mechanism and Expert Knowledge Embedding via Attention Map
B Song, C Zhang, S Sunny, DR Kc, S Li, K Gurushanth, P Mendonca, ...
Cancers 15 (5), 1421, 2023
强制性开放获取政策： US National Institutes of Health, State of Califonia
Fair Coexistence of Heterogeneous Networks: A Novel Probabilistic Multi-Armed Bandit Approach
Z Guo, C Zhang, M Li, M Krunz
2023 21st International Symposium on Modeling and Optimization in Mobile, Ad …, 2023
强制性开放获取政策： US National Science Foundation
Hierarchical Unimodal Bandits
T Zhao, C Zhang, M Li
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
强制性开放获取政策： US Department of Defense
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