We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
: We study the weight distribution and list-decoding size of Reed-Muller codes. Given a weight parameter, we are interested in bounding the number of Reed-Muller codewords with a w...
In recent years, research about distributing databases over networks has become increasingly important. Here we concentrate on the issues of interoperability of heterogeneous DBMS...
Stefan Grufman, Fredrik Samson, Suzanne M. Embury,...
This paper presents a specification-based approach for systematic testing of products from a software product line. Our approach uses specifications given as formulas in Alloy, a ...
Engin Uzuncaova, Daniel Garcia, Sarfraz Khurshid, ...
Social networks are of interest to researchers in part because they are thought to mediate the flow of information in communities and organizations. Here we study the temporal dyn...
Gueorgi Kossinets, Jon M. Kleinberg, Duncan J. Wat...