POIROT is an integration framework for combining machine learning mechanisms to learn hierarchical models of web services procedures from a single or very small set of demonstrati...
Mark H. Burstein, Robert Laddaga, David McDonald, ...
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
— This paper considers the problem of coordinating multiple vehicles with kinodynamic constraints that operate in the same partially-known environment. The vehicles are able to c...
Kostas E. Bekris, Konstantinos I. Tsianos, Lydia E...
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
Constructing indoor radio maps plays an important role in many services and applications such as wireless base station planning. In this paper, we propose a hybrid approach to con...
Zhe Xiang, Hangjin Zhang, Jian Huang, Song Song, K...