We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Recently, graphics processing units, or GPUs, have become a viable alternative as commodity, parallel hardware for generalpurpose computing, due to their massive data-parallelism,...
Ke Yang, Bingsheng He, Rui Fang, Mian Lu, Naga K. ...
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
The creation process of technical documentation is an expensive and time-consuming task especially for complex products. To make this process more cost-efficient computerized supp...
Terrain can be approximated by a triangular mesh consisting millions of 3D points. Multiresolution triangular mesh (MTM) structures are designed to support applications that use t...