We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
Stream computing research is moving from terascale to petascale levels. It aims to rapidly analyze data as it streams in from many sources and make decisions with high speed and a...
Ankur Narang, Vikas Agarwal, Monu Kedia, Vijay K. ...
Formal Concept Analysis (FCA) considers attributes as a non-ordered set. This is appropriate when the data set is not structured. When an attribute taxonomy exists, existing techni...
Overall efficiency of high-performance computing clusters not only relies on the computing power of the individual nodes, but also on the performance that the underlying network c...
Grid jobs often consist of a large number of tasks. If the performance of a statically scheduled grid job is unsatisfactory, one must decide which code of which task should be imp...