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...
We give examples of situations where formal specifications of procedures in the standard pre/postcondition style become lengthy, cumbersome and difficult to change, a problem whic...
Alexander Borgida, John Mylopoulos, Raymond Reiter
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
With an increasing number of Web services providing similar functionalities, Quality of Service (QoS) is becoming an important criterion for selection of the best available servic...
Ziqiang Xu, Patrick Martin, Wendy Powley, Farhana ...