We present a heuristic search algorithm for solving first-order Markov Decision Processes (FOMDPs). Our approach combines first-order state abstraction that avoids evaluating stat...
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
— Cognitive Radio systems face an important challenge – fast and reliable channel searching to enable secondary users to optimize available spectral resources. We revisit conve...
To investigate the nature of people’s understandings for how search engines work, we collected data from 232 undergraduate and graduate students. Students were asked to “draw ...
This paper discussed some of the ongoing investigative work on integrating these two systems conducted as part of the NSF/JISC funded OMRAS (Online Music Retrieval and Searching) ...