In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...
—We present a new algorithm for vertical handover and dynamic network selection, based on a combination of multiattribute utility theory, kernel learning and stochastic gradient ...
Eric van den Berg, Praveen Gopalakrishnan, Byungsu...
In this paper, we consider a data model for uncertain trajectories of moving objects. In our model, the trajectory is a vector of uniform stochastic processes. We study “univers...
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...