Abstract. In wireless data broadcast systems, popular information is repetitively disseminated through possibly multiple communication channels to mobile clients using various type...
We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Hypertext is a technology well-suited to exploring different kinds of representational problems. It can be used first as an informal mechanism to describe the attributes of object...
In order to be able to evaluate beforehand the impact of a strategical or tactical move, decision makers need reliable previsional systems. What-if analysis satisfies this need b...