This paper introduces a new discriminative learning technique for link prediction based on the matrix alignment approach. Our algorithm automatically determines the most predictiv...
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-...
With the emergence of grid computing environment, performance measurement, analysis and prediction of non-dedicated distributed systems have become increasingly important. In this...
Unlike in terrestrial sensor networks where the locations of destination nodes are often assumed to be fixed and accurately known, such assumptions are usually not valid in under...
— This paper presents a novel theoretical framework for end-to-end video quality prediction of MPEG-based video sequences. The proposed framework encloses two discrete models: i)...
We study online social networks in which relationships can be either positive (indicating relations such as friendship) or negative (indicating relations such as opposition or ant...
Jure Leskovec, Daniel P. Huttenlocher, Jon M. Klei...