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A Reinforcement Learning Algorithm Based on Minimum State Method and Average Reward
Found in: Computer Science and Information Engineering, World Congress on
By Fu Qi-ming, Liu Quan, Cui Zhi-ming, Fu Yu-chen
Issue Date:April 2009
pp. 534-538
Reinforcement learning is learning what to do--how to map situations to actions--so as to maximize a numerical reward signal. In allusion to the problem that Q-Learning, which uses discount reward as the evaluation criterion, cannot show the affect of the ...
 
Key Problems Research For E-commerce Databases Integration System
Found in: Convergence Information Technology, International Conference on
By Chen Hong-ping,Fu Yu-chen,Zhong Xin,Cui Zhi-ming,Liu Quan
Issue Date:November 2007
pp. 1578-1583
With the rapid development of IT technology, more and more E-commerce databases are available in the Internet. These databases are web-accessible through form-based search interfaces. In order to get useful information, users need to send their request to ...
 
The Research on the Spider of the Domain-Specific Search Engines Based on the Reinforcement Learning
Found in: Intelligent Systems, WRI Global Congress on
By Liu Quan, Cui Zhi-ming, Fu Yu-chen
Issue Date:May 2009
pp. 588-592
On the basis of the comparison between general search engines and vertical search engines, the development of vertical search engines will be discussed. After the introduction of the theory and algorithms of reinforcement learning, the reinforcement learni...
 
A Method to Automatically Discover and Classify Deep Web Data Source Using Multi-Classifier
Found in: Computer Science and Information Engineering, World Congress on
By Li Zhi-tao, Liu Quan, Cui Zhi-ming, Fu Yu-chen
Issue Date:April 2009
pp. 736-740
Recently, the discovery of Deep Web data source and domain-relevant issue attract more and more attentions. This paper proposed a method using multi-classifier to discover and classify the data source of Deep Web. Firstly, It used Naïve bays classifier to ...
 
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