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Publication search results
found 350 matches
- 2024
- Venkataramana Veeramsetty:
Distribution locational marginal price computation based on active power loss and emissions in active distribution system using nucleolus theory. Evol. Intell. 17(1): 249-265 (2024) - Denghao Dong, Minyu Feng, Jürgen Kurths, Libo Zhang:
Fuzzy large margin distribution machine for classification. Int. J. Mach. Learn. Cybern. 15(5): 1891-1905 (2024) - Libo Zhang, Denghao Dong, Lianyi Luo, Dun Liu:
A Novel Fuzzy Large Margin Distribution Machine With Unified Pinball Loss. IEEE Trans. Fuzzy Syst. 32(4): 1782-1795 (2024) - Qi Wang, Yixiao Zhang, Bo He:
Automatic Seabed Target Segmentation of AUV via Multilevel Adversarial Network and Marginal Distribution Adaptation. IEEE Trans. Ind. Electron. 71(1): 749-759 (2024) - Minna Hirvonen:
Axiomatization of Implication for Probabilistic Independence and Unary Variants of Marginal Identity and Marginal Distribution Equivalence. FoIKS 2024: 222-234 - Linwei Sang, Yinliang Xu, Hongbin Sun, Qiuwei Wu, WenChuan Wu:
Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication. CoRR abs/2402.07379 (2024) - Yasuko Kawahata:
Repetitive Dilemma Games in Distribution Information Using Interplay of Droop Quota: Meek's Method in Impact of Maximum Compensation and Minimum Cost Routes in Information Role of Marginal Contribution in Two-Sided Matching Markets. CoRR abs/2403.18837 (2024) - 2023
- Jingyue Zhou, Ye Tian, Jian Luo, Qianru Zhai:
A kernel-free Laplacian quadratic surface optimal margin distribution machine with application to credit risk assessment. Appl. Soft Comput. 133: 109931 (2023) - Mengdan Ma, Yitian Xu:
A two-stage gap safe screening rule for multi-label optimal margin distribution machine. Eng. Appl. Artif. Intell. 118: 105653 (2023) - Jian-Hong Gao, Mou-Fa Guo, Shuyue Lin, Duan-Yu Chen:
Application of semantic segmentation in High-Impedance fault diagnosis combined signal envelope and Hilbert marginal spectrum for resonant distribution networks. Expert Syst. Appl. 231: 120631 (2023) - Barenya Bikash Hazarika, Deepak Gupta:
Mode decomposition based large margin distribution machines for sediment load prediction. Expert Syst. Appl. 232: 120844 (2023) - Fa Zhu, Wenjie Zhang, Xingchi Chen, Xizhan Gao, Ning Ye:
Large margin distribution multi-class supervised novelty detection. Expert Syst. Appl. 224: 119937 (2023) - Sheng Liu, Jianghai Shuai, Yang Li, Sidan Du:
MMDA: Multi-person marginal distribution awareness for monocular 3D pose estimation. IET Image Process. 17(7): 2182-2191 (2023) - Mario Ghossoub, Jesse Hall, David Saunders:
Maximum Spectral Measures of Risk with Given Risk Factor Marginal Distributions. Math. Oper. Res. 48(2): 1158-1182 (2023) - Barenya Bikash Hazarika, Deepak Gupta:
Improved twin bounded large margin distribution machines for binary classification. Multim. Tools Appl. 82(9): 13341-13368 (2023) - Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
Adversarial training with distribution normalization and margin balance. Pattern Recognit. 136: 109182 (2023) - Libo Zhang, Qiang Jin, Shuangyi Fan, Dun Liu:
A Novel Dual-Center-Based Intuitionistic Fuzzy Twin Bounded Large Margin Distribution Machines. IEEE Trans. Fuzzy Syst. 31(9): 3121-3134 (2023) - Zongzheng Zhao, Yixin Liu, Li Guo, Linquan Bai, Zhongguan Wang, Chengshan Wang:
Distribution Locational Marginal Pricing Under Uncertainty Considering Coordination of Distribution and Wholesale Markets. IEEE Trans. Smart Grid 14(2): 1590-1606 (2023) - Dunbiao Niu, Enbin Song, Zhi Li, Linxia Zhang, Ting Ma, Juping Gu, Qingjiang Shi:
A Marginal Distributionally Robust MMSE Estimation for a Multisensor System With Kullback-Leibler Divergence Constraints. IEEE Trans. Signal Process. 71: 3772-3787 (2023) - Ansel Y. Rodríguez González, Ángel Díaz-Pacheco, Ramón Aranda, Miguel Ángel Álvarez-Carmona, Yoan Martínez López, Julio Madera:
Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm. GECCO Companion 2023: 1-2 - Yulin Su, Boan Chen, Ziming Feng, Junchi Yan:
Adaptive Embedding and Distribution Re-margin for Long-Tail Recognition. ICANN (8) 2023: 38-50 - Junzhuo Liu, Yuanyuan Ren, Weiwei Li, Yuchen Zheng, Chenyang Wang:
Improving Out-of-Distribution Detection with Margin-Based Prototype Learning. ICONIP (12) 2023: 149-160 - Li-Jun Chen, Teng Zhang, Xuanhua Shi, Hai Jin:
Incremental and Decremental Optimal Margin Distribution Learning. IJCAI 2023: 3523-3531 - Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin:
Scalable Optimal Margin Distribution Machine. IJCAI 2023: 4362-4370 - Yaser Ahmed, Mohammed Aljarboa, Walied Alfraidi:
Flexibility of IoT-based Smart Houses Loads for Enhancing Distribution System Margins. ISGT EUROPE 2023: 1-5 - Xiaoping Pan, Xi Yang, Kejun Lei, Geng Zhang, Yinhang Zhang, Tingting Liu, Song Zhang:
Enhanced Spectrum Sensing by Combining Feature Selection and Optimal Margin Distribution Machine. VCC 2023: 246-251 - Max Hopkins, Daniel M. Kane, Shachar Lovett, Gaurav Mahajan:
Do PAC-Learners Learn the Marginal Distribution? CoRR abs/2302.06285 (2023) - Yilin Wang, Nan Cao, Teng Zhang, Xuanhua Shi, Hai Jin:
Scalable Optimal Margin Distribution Machine. CoRR abs/2305.04837 (2023) - Chenqiu Zhao, Guanfang Dong, Anup Basu:
Learning Distributions via Monte-Carlo Marginalization. CoRR abs/2308.06352 (2023) - SeungHwan An, Sungchul Hong, Jong-June Jeon:
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance. CoRR abs/2312.03307 (2023)
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