Zobrazeno 1 - 10
of 377
pro vyhledávání: '"Chen, Jiangning"'
Optimization problems characterized by both discrete and continuous variables are common across various disciplines, presenting unique challenges due to their complex solution landscapes and the difficulty of navigating mixed-variable spaces effectiv
Externí odkaz:
http://arxiv.org/abs/2405.20500
Autor:
Li, Weili, Ding, Jiaqi, Chen, Silin, Chen, Jiangning, Wang, Chen, Li, Jiaxin, Shi, Huanhuan, Yin, Xiaojiao, Wang, Jin, Liu, Jiachen, Song, Huichen, Zhou, Zhen, Jiang, Xiaohong, Jiang, Wantong, Jiang, Yufei, Cao, Mingxi, Li, Botao, Li, Jing, Li, Liang, Zhang, Yujing
Publikováno v:
In Journal of Controlled Release December 2024 376:123-137
Autor:
Wang, Haoyu, Zhao, Junqi, Ji, Shiliang, Liu, Tingjun, Cheng, Zhisheng, Huang, Zhen, Zang, Yuhui, Chen, Jiangning, Zhang, Junfeng, Ding, Zhi
Publikováno v:
In Free Radical Biology and Medicine 1 August 2024 220:236-248
Autor:
He, Yanyan, Wang, Wenzhu, Jiang, Juan, Shen, Yuanxing, Wang, Baoxi, Chen, Jiangning, Li, Min, Xu, Haoxiang
Publikováno v:
In Heliyon 30 June 2024 10(12)
Autor:
Lin, Ying, Wang, Han, Chen, Jiangning, Wang, Tong, Liu, Yue, Ji, Heng, Liu, Yang, Natarajan, Premkumar
The growing popularity of Virtual Assistants poses new challenges for Entity Resolution, the task of linking mentions in text to their referent entities in a knowledge base. Specifically, in the shopping domain, customers tend to use implicit utteran
Externí odkaz:
http://arxiv.org/abs/2104.02667
Autor:
Chen, Jiangning, Dai, Zhibo, Duan, Juntao, Hu, Qianli, Li, Ruilin, Matzinger, Heinrich, Popescu, Ionel, Zhai, Haoyan
We propose a new approach to address the text classification problems when learning with partial labels is beneficial. Instead of offering each training sample a set of candidate labels, we assign negative-oriented labels to the ambiguous training ex
Externí odkaz:
http://arxiv.org/abs/1906.03768
Naive Bayes estimator is widely used in text classification problems. However, it doesn't perform well with small-size training dataset. We propose a new method based on Naive Bayes estimator to solve this problem. A correlation factor is introduced
Externí odkaz:
http://arxiv.org/abs/1905.06115
Akademický článek
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We define a new method to estimate centroid for text classification based on the symmetric KL-divergence between the distribution of words in training documents and their class centroids. Experiments on several standard data sets indicate that the ne
Externí odkaz:
http://arxiv.org/abs/1808.10261
Autor:
Chen, Jiangning
Principal component analysis (PCA) is one of the most commonly used statistical procedures with a wide range of applications. Consider the points $X_1, X_2,..., X_n$ are vectors drawn i.i.d. from a distribution with mean zero and covariance $\Sigma$,
Externí odkaz:
http://arxiv.org/abs/1808.09489