In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Wedescribe the use of a recommendersystem to enable continuousknowledgeacquisition and individualized tutoring of application software across an organization. Installing such syst...
Frank Linton, Deborah Joy, Hans-Peter Schaefer, An...
Abstract. The paper presents an intelligent GIS architecture that enables us to extend GIS functionality by using domain specific knowledge and inference engine. In this architectu...
High-performance microprocessors are currently designed to exploit the inherent instruction level parallelism (ILP) available in most applications. The techniques used in their de...
In this paper the tool TELIOS is presented, for the automatic generation of a hardware machine, corresponding to a given logic program. The machine is implemented using an FPGA, wh...
Alexandros C. Dimopoulos, Christos Pavlatos, Georg...