This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
ions for Network Update Mark Reitblatt Cornell Nate Foster Cornell Jennifer Rexford Princeton Cole Schlesinger Princeton David Walker Princeton Configuration changes are a common...
Mark Reitblatt, Nate Foster, Jennifer Rexford, Col...
Linearizability is a key design methodology for reasoning about tations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusi...
Modularity is a central theme in any scalable program analysis. The core idea in a modular analysis is to build summaries at procedure boundaries, and use the summary of a procedu...
Aws Albarghouthi, Rahul Kumar, Aditya V. Nori, Sri...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...