In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
Temporal derivatives are computed by a wide variety of neural circuits, but the problem of performing this computation accurately has received little theoretical study. Here we sy...
We present in this paper a review of some recent work dedicated to the numerical interfacial coupling of fluid models. One main motivation of the whole work is to provide some mean...
Protein crystallization is a commonly used technique for protein analysis and subsequent drug design. It predicts the 3-D arrangement of the constituent amino acids, which in turn ...
The Monte-Carlo (MC) technique is a traditional solution for a reliable statistical analysis, and in contrast to probabilistic methods, it can account for any complicate model. How...