We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
Linked Data (LD) provides principles for publishing data that underpin the development of an emerging web of data. LD follows the web in providing low barriers to entry: publisher...
Norman W. Paton, Klitos Christodoulou, Alvaro A. A...
Background: Due to the complex and distributed nature of biological research, our current biological knowledge is spread over many redundant annotation databases maintained by man...
Brad T. Sherman, Da Wei Huang, Qina Tan, Yongjian ...
In this paper, we propose a Joint Source-Network error control coding (JSNC) scheme which efficiently integrates scalable video coding, error control coding and overlay infrastruc...
Yufeng Shan, Shivkumar Kalyanaraman, John W. Woods...