Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Chun-yi Shi"'
Publikováno v:
In Image and Vision Computing 2007 25(8):1255-1262
Autor:
Dan-tong Ouyang, Zhangang Han, Ruqian Lu, Ji-gui Sun, Sanjiang Li, Xiao-shan Gao, Jue Wang, Ru-zhan Lu, Cun-gen Cao, Tian-shun Yao, Chun-yi Shi
Publikováno v:
IEEE Intelligent Systems. 23:26-32
This article consists of nine short essays discussing research pursued by AI researchers in China and their perspectives on research in several AI subareas. The article first introduces the mechanization of mathematics, an area in which Chinese scien
Autor:
Chun Yi Shi, Zi Ning Cao
Publikováno v:
Journal of Computer Science and Technology. 18:571-579
In this paper, we present a logic system for probabilistic belief named PBL, which expands the language of belief logic by introducing probabilistic belief. Furthermore, we give the probabilistic Aumann semantics of PBL. We also list some valid prope
Publikováno v:
AAMAS
Coalition formation is a key topic in multiagent systems. One may prefer a coalition structure that maximizes the sum of the values of the coalitions, but often the number of coalition structures is too large to allow exhaustive search for the optima
Autor:
null Jian-Tao Sun, null Ben-Yu Zhang, null Zheng Chen, null Yu-Chang Lu, null Chun-Yi Shi, null Wei-Ying Ma
Publikováno v:
IEEE/WIC/ACM International Conference on Web Intelligence (WI'04).
Publikováno v:
ICDM
Latent semantic indexing (LSI) is a successful technology in information retrieval (IR) which attempts to explore the latent semantics implied by a query or a document through representing them in a dimension-reduced space. However, LSI is not optima
Autor:
Chun-Yi Shi, Shan-Li Hu
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
There are two purposes in this paper. First, it presents an approach to designing an agent. For adapting to the cooperative requests of the agents in a multi-agent system, we distinguish between the two aspects of underlying attributes of an agent: i
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
Noisy data is inherent in the field of data mining. If prior knowledge of such data was available, it would be a simple process to remove or account for noise and improve model robustness. Unfortunately, in the majority of learning situations, the pr
Publikováno v:
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
This paper first explores the differences of the attitude of mind, especially desires, between rational agents and human beings. It argues that the desires of rational agents must be consistent, although those of human beings may be inconsistent. Lat
Autor:
Shan-Li Hu, Chun-Yi Shi
Publikováno v:
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
Intention, an indispensable cognition attribute of agent, plays an important role in agent's rational behavior. There is a lot of research on formalization of cognitive state that include intentions of the agents in a multi-agent system. These theori