PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
To improve the Mandarin large vocabulary continuous speech recognition (LVCSR), a unified framework based approach is introduced to exploit multi-level linguistic knowledge. In th...
Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong W...
We present a novel approach to describe the knowledge discovery process, focusing on a generalized form of attribute called view. It is observed that the process of knowledge disc...
This paper integrates expectancy disconfirmation theory and justice theory to construct a model for investigating the motivations behind people’s knowledge sharing in open profe...
Chao-Min Chiu, Eric T. G. Wang, Fu-Jong Shih, Yi-W...