— Numerical condition affects the learning speed and accuracy of most artificial neural network learning algorithms. In this paper, we examine the influence of opposite transfe...
— Recent advances in network coding have shown great potential for efficient information multicasting in communication networks, in terms of both network throughput and network ...
Lijun Chen, Tracey Ho, Steven H. Low, Mung Chiang,...
One way to address the continuing performance problem of high-level domain-specific languages, such as Octave or MATLAB, is to compile them to a relatively lower level language f...
This paper explores connections between Ficici’s notion of solution concept and order theory. Ficici postulates that algorithms should ascend an order called weak preference; th...
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, J...