This paper describes an algorithm optimizing the discovery process for composed semantic web services. The algorithm can be used to improve discovery of appropriate component servi...
This paper presents a new approach to cross-level hierarchical high-level synthesis. A methodology is presented, that supports the efficient synthesis of hierarchical specified sy...
This paper presents a new approach for generating configured and flexible middleware systems for integration of heterogeneous and distributed data. The configuration is based on t...
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
Gavin Brown, Adam Pocock, Ming-Jie Zhao, Mikel Luj...