In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
: This paper defines a framework for explaining redo recovery after a system crash. In this framework, an installation graph explains the order in which operations must be install...
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Abstract. We address the problem of answering queries using expressive symmetric inter-schema constraints which allow to establish mappings between several heterogeneous informatio...
Modeling hardware through atomic guard/action transitions with interleaving semantics is popular, owing to the conceptual clarity of modeling and verifying the high level behavior ...
Xiaofang Chen, Steven M. German, Ganesh Gopalakris...