This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
The implementation of an algorithm is faced with the issues efficiency, flexibility, and ease-of-use. In this paper, we suggest a design concept that greatly increases the flexibi...
In this paper, we present the design and implementation of Smart Messages, a distributed computing platform for networks of embedded systems based on execution migration. A Smart ...
Porlin Kang, Cristian Borcea, Gang Xu, Akhilesh Sa...
Localization is the process of determining the robot's location within its environment. More precisely, it is a procedure which takes as input a geometric map, a current estim...
The Stanford Power Browser project addresses the problems of interacting with the World-Wide Web through wirelessly connected Personal Digital Assistants (PDAs). These problems in...
Orkut Buyukkokten, Hector Garcia-Molina, Andreas P...