Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Su Kaile"'
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 167-76 (2023)
Named entity recognition (NER) is the localization and classification of entities with specific meanings in text data, usually used for applications such as relation extraction, question answering, etc. Chinese is a language with Chinese characters a
Externí odkaz:
https://doaj.org/article/8b137587371f4afda8b2ee0cec617fad
Publikováno v:
Journal of Intelligent Systems, Vol 26, Iss 2, Pp 263-285 (2017)
The writing part in Chinese language tests is badly in need of a mature automated essay scoring system. In this paper, we propose a new approach applied to automated Chinese essay scoring (ACES), called contextualized latent semantic indexing (CLSI),
Externí odkaz:
https://doaj.org/article/1c666789862f4c77a772dd942a32b017
Autor:
Cheng, Shuangqin, Chen, Qingliang, Zhang, Qiyi, Li, Ming, Alike, Yamuhanmode, Su, Kaile, Wen, Pengcheng
Computed Tomography (CT) is a medical imaging modality that can generate more informative 3D images than 2D X-rays. However, this advantage comes at the expense of more radiation exposure, higher costs, and longer acquisition time. Hence, the reconst
Externí odkaz:
http://arxiv.org/abs/2309.04960
Autor:
Li, Zhiyuan, Wu, Lijun, Su, Kaile, Wu, Wei, Jing, Yulin, Wu, Tong, Duan, Weiwei, Yue, Xiaofeng, Tong, Xiyi, Han, Yizhou
Publikováno v:
In Neural Networks April 2024 172
Publikováno v:
In Speech Communication March 2024 158
Dropout has proven to be an effective technique for regularization and preventing the co-adaptation of neurons in deep neural networks (DNN). It randomly drops units with a probability $p$ during the training stage of DNN. Dropout also provides a way
Externí odkaz:
http://arxiv.org/abs/1808.09907
The tabu and restart are two fundamental strategies for local search. In this paper, we improve the local search algorithms for solving the Maximum Weight Clique (MWC) problem by introducing new tabu and restart strategies. Both the tabu and restart
Externí odkaz:
http://arxiv.org/abs/1804.08187
Publikováno v:
In Pattern Recognition October 2022 130
Publikováno v:
Appl. Intell. (2018)
Connections between nodes of fully connected neural networks are usually represented by weight matrices. In this article, functional transfer matrices are introduced as alternatives to the weight matrices: Instead of using real weights, a functional
Externí odkaz:
http://arxiv.org/abs/1710.10403
There is a wide gap between symbolic reasoning and deep learning. In this research, we explore the possibility of using deep learning to improve symbolic reasoning. Briefly, in a reasoning system, a deep feedforward neural network is used to guide re
Externí odkaz:
http://arxiv.org/abs/1704.07503