This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Transition systems are graphs and it is natural to consider their visual representation as a graph visualization problem. They also pose an interesting multidimensional visualizat...
The traditional way of representing motion in 3D space-time uses a trajectory, i.e. a sequence of (x,y,t) points. Such a trajectory may be produced by periodic sampling of a Global...
We first point out a problem in the role casting method of a story generation system called OPIATE and then propose a solution to this problem. The existing casting method does no...
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...