Abstract. We present an extension to linear-time temporal logic (LTL) that combines the temporal specification with the collection of statistical data. By collecting statistics ove...
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
In Mobile Sensor Network (MSN) applications, sensors move to increase the area of coverage and/or to compensate for the failure of other sensors. In such applications, loss or cor...
Le Gruenwald, Md. Shiblee Sadik, Rahul Shukla, Han...
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...