Synchronous text communication is becoming recognized as a valuable workplace communication medium yet some studies of group text chat indicate that its properties can lead to int...
An algorithm is presented for online learning of rotations. The proposed algorithm involves matrix exponentiated gradient updates and is motivated by the von Neumann divergence. T...
Recent advancements in communication systems enable the collaboration of virtual software design teams, breaking the barriers of time and distance. In this paper we address a criti...
Daniela E. Damian, Mildred L. G. Shaw, Brian R. Ga...
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...