We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
Crowd-sourcing is a recent framework in which human intelligence tasks are outsourced to a crowd of unknown people ("workers") as an open call (e.g., on Amazon's Me...
Designing message integrity schemes for data aggregation is an imperative problem for securing wireless sensor networks. In this paper, we propose three secure aggregation schemes ...
Integration of XML data is an increasingly important problem and many methods have recently been developed. In this talk, we examine the related and more challenging task of how t...