With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
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 ...
Camera networks are being deployed for various applications like security and surveillance, disaster response and environmental modeling. However, there is little automated process...
Bi Song, Ahmed T. Kamal, Cristian Soto, Chong Ding...
Egon Börger Ambient Abstract State Machines with Applications 11:00 AM Manfred Broy Realizability of System Interface Specifications 11:30 AM Ofer Strichman Proving Equivalence be...
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...