Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
The methodology of aspect-oriented software engineering has been proposed to factor out concerns that are orthogonal to the core functionality of a system. In particular, this is a...
The aim of this paper is to conduct a comparative study between liberal and prescriptive cultures (in this case Arab and British audiences) to extract the views of Web designers i...
Wireless communications and device miniaturization are enabling pervasive scenarios where the limited resource availability and the wide heterogeneity of access terminals make cruc...
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...