Sensor networks will shortly consist of globally deployed sensors providing real-time geo-centric information to users. Particularly, users with mobile devices will issue ad-hoc q...
Mohamed Aly, Anandha Gopalan, Jerry Zhao, Adel M. ...
We make two main contributions in this paper. First, we motivate and introduce a novel class of data mining problems that arise in labeling a group of mass spectra, specifically f...
Active learning is well-suited to many problems in natural language processing, where unlabeled data may be abundant but annotation is slow and expensive. This paper aims to shed ...
The ability to represent and query continuously moving objects is important in many applications of spatio-temporal database systems. In this paper we develop data structures for ...
Pankaj K. Agarwal, Lars Arge, Jeff Erickson, Hai Y...
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...