Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
Ionosphere consists of a large complex system whose analysis is of major importance, e.g., for climatology or radiocommunications. Therefore, studying its variations, usually anal...
The overwhelming success of the Web as a mechanism for facilitating information retrieval and for conducting business transactions has led to an increase in the deployment of comp...
Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. ...
Computational social choice is an interdisciplinary eld of study at the interface of social choice theory and computer science, with knowledge owing in either direction. On the o...
The existing thread scheduler in FreeBSD was well suited towards the computing environment that it was developed in. As the priorities and hardware targets of the project have cha...