When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
CARD (Collaborative Analysis of Requirements and Design) is an influential technique for participatory design and participatory analysis that is in use on three continents. This p...
on Predicate Abstraction and Fair Termination Andreas Podelski Andrey Rybalchenko Max-Planck-Institut f?ur Informatik Saarbr?ucken, Germany Predicate abstraction is the basis of m...
We present a framework for the certification of compilation and of compiled programs. Our approach uses a symbolic transfer functions-based representation of programs, so as to ch...