There is a significant need for data integration capabilities in the scientific domain, which has manifested itself as products in the commercial world as well as academia. Howeve...
Brenton Louie, Landon Detwiler, Nilesh N. Dalvi, R...
Uncertainty or errors are introduced in fluid flow data as the data is acquired, transformed and rendered. Although researchers are aware of these uncertainties, little has been d...
Suresh K. Lodha, Alex Pang, Robert E. Sheehan, Cra...
Studying how a software system has evolved over time is difficult, time consuming, and costly; existing techniques are often limited in their applicability, are hard to extend, a...
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...