Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
–This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performanc...
— The problem of sensor activation in a controlled discrete event system is considered. Sensors are assumed to be costly and can be turned on/off during the operation of the syst...
—Large-scale wireless networks must be designed such that there are no gaps in coverage. It is also desirable to minimize the number of access points used in order to minimize th...