Program slicing has been used for efficient program debugging activities. Program slice is computed by analyzing dependence relations between program statements. We can divide dep...
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
— Results of queries by personal names often contain documents related to several people because of the namesake problem. In order to differentiate documents related to different...
This study stems from a suggestion in the literature (Lohse and Spiller, 1999) that for some products an increase in the amount of information presented on a web site has a negati...
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...