Identifying Influential Entries in a Matrix

Autor: Kundu, Abhisek, Nambirajan, Srinivas, Drineas, Petros

For any matrix A in R^(m x n) of rank \rho, we present a probability distribution over the entries of A (the element-wise leverage scores of equation (2)) that reveals the most influential entries in the matrix. From a theoretical perspective, we pro

Externí odkaz: http://arxiv.org/abs/1310.3556

Tracking and Predicting Evolution of Social Communities.

Autor: Goldberg, Mark, Magdon-Ismail, Malik, Nambirajan, Srinivas, Thompson, James

Publikováno v: Privacy, Security, Risk & Trust (PASSAT), 2011 IEEE Third International Conference on & 2011 IEEE Third International Conference on Social Computing (SocialCom); 2011, p780-783, 4p