Motivated by the problem of deciding verification conditions for the verification of functional programs, we present new decision procedures for automated reasoning about functio...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
Astatistical theory of local alignmentalgorithms with gaps is presented. Both the linear and logarithmic phases, as well as the phase transition separating the two phases, are des...
In this paper 1 , we shall describe about a refined theory based on the concept of set-valued operators, suitable for available operation of extremely complicated large-scale netwo...